Tiny-charlotte

312
3
license:mit
by
LLM-CLEM
Language Model
OTHER
New
312 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

🛠️ Comment l'Utiliserpythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "Clemylia/Tiny-charlotte"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Qu'est-ce qui définit une véritable amitié ?"

input_ids = tokenizer.encode(prompt, return_tensors="pt")

# Exemple de génération
output = model.generate(
    input_ids,
    max_length=150,
    num_return_sequences=1,
    do_sample=True, # Recommandé pour la créativité
    temperature=0.8
)

generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_text)

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