Llama 3.1 8b ITA

🚀 Llama-3.1-8b-ITA

Llama-3.1-8b-ITA 是基於 Meta-Llama-3.1-8B-Instruct 基礎模型針對意大利語進行優化的模型，在文本生成任務中表現良好，可用於多種文本生成場景。

🚀 快速開始

模型架構

• 基礎模型：Meta-Llama-3.1-8B-Instruct
• 專業領域：意大利語

使用示例

基礎用法

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

MODEL_NAME = "DeepMount00/Llama-3.1-8b-Ita"

model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.bfloat16).eval()
model.to(device)
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)

def generate_answer(prompt):
    messages = [
        {"role": "user", "content": prompt},
    ]
    model_inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(device)
    generated_ids = model.generate(model_inputs, max_new_tokens=200, do_sample=True,
                                          temperature=0.001)
    decoded = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
    return decoded[0]

prompt = "Come si apre un file json in python?"
answer = generate_answer(prompt)
print(answer)

📚 詳細文檔

開發者

[Michele Montebovi]

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