turkish-code-detector

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1 language
license:apache-2.0
by
yeniguno
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OTHER
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Quick Summary

AI model with specialized capabilities.

Code Examples

How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]
How to Get Started with the Modelpythontransformers
from transformers import pipeline

clf = pipeline("text-classification",
               model="yeniguno/turkish-code-detector",
               tokenizer="yeniguno/turkish-code-detector")

prompt = "def faktoriyel(n):\n    return 1 if n <= 1 else n * faktoriyel(n-1)"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'CODE', 'score': 0.999995231628418}]

prompt = "Linux'un yaratıcısı kimdir, biliyor musun?"
result = clf(prompt)
print(f"Classification: {result}\n")
# Classification: [{'label': 'NL', 'score': 0.9998611211776733}]

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