Lam-3

517
1
—
by
LLM-CLEM
Language Model
OTHER
New
517 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Load model directlytexttransformers
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Clemylia/Lam-3")
model = AutoModelForCausalLM.from_pretrained("Clemylia/Lam-3")
messages = [
    {"role": "user", "content": "Qui es-tu ?"},
]
inputs = tokenizer.apply_chat_template(
    messages,
    add_generation_prompt=True,
    tokenize=True,
    return_dict=True,
    return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=150, do_sample=True, temperature=0.7, repetition_penalty=1.2)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
print('fin')

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