DeepMount00
/

Llama-3.1-8b-ITA

@@ -4,197 +4,38 @@ tags: []
 base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
 ---
-# Model Card for Model ID
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 base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
 ---
+## Model Architecture
+- **Base Model:** [Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)
+- **Specialization:** Italian Language
+## How to Use
+```python
+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)
+```
+---
+## Developer
+[Michele Montebovi]