gem-3-small

34
license:apache-2.0
by
oopere
Language Model
OTHER
New
34 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Hardware & Training Timepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load model and tokenizer
model_id = "oopere/gem-3-small"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

# Generate text
prompt = "Paris is the capital of"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
    **inputs,
    max_new_tokens=50,
    do_sample=False,
    num_beams=3
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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