FastBit-450M-DeepCoder

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by
imsuprtwo2
Language Model
OTHER
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Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

🚀 Implementationpythontransformers
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "imsuprtwo2/FastBit-450M-DeepCoder"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    dtype=torch.float32,
    low_cpu_mem_usage=True,
    trust_remote_code=True
)

prompt = "def calculate_factorial(n):"
inputs = tokenizer(prompt, return_tensors="pt")

outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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