OpenSeek-Small-v1-Baseline

Name: OpenSeek-Small-v1-Baseline
Author: BAAI

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BAAI

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Quick Summary

AI model with specialized capabilities.

Code Examples

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

Licensepythontransformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")
tokenizer = AutoTokenizer.from_pretrained("BAAI/OpenSeek-Small-v1-Baseline")

inputs = tokenizer("The future of AI is", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))

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