Update README.md
Browse files
README.md
CHANGED
|
@@ -5,4 +5,35 @@ datasets:
|
|
| 5 |
- DeepMount00/llm_ita_ultra
|
| 6 |
language:
|
| 7 |
- it
|
| 8 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
- DeepMount00/llm_ita_ultra
|
| 6 |
language:
|
| 7 |
- it
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
## How to Use
|
| 11 |
+
|
| 12 |
+
```python
|
| 13 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 14 |
+
import torch
|
| 15 |
+
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 16 |
+
|
| 17 |
+
MODEL_NAME = "DeepMount00/Llama-3-8b-Ita"
|
| 18 |
+
|
| 19 |
+
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.bfloat16).eval()
|
| 20 |
+
model.to(device)
|
| 21 |
+
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
| 22 |
+
|
| 23 |
+
def generate_answer(prompt):
|
| 24 |
+
messages = [
|
| 25 |
+
{"role": "user", "content": prompt},
|
| 26 |
+
]
|
| 27 |
+
model_inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(device)
|
| 28 |
+
generated_ids = model.generate(model_inputs, max_new_tokens=200, do_sample=True,
|
| 29 |
+
temperature=0.001)
|
| 30 |
+
decoded = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
|
| 31 |
+
return decoded[0]
|
| 32 |
+
|
| 33 |
+
prompt = "Come si apre un file json in python?"
|
| 34 |
+
answer = generate_answer(prompt)
|
| 35 |
+
print(answer)
|
| 36 |
+
```
|
| 37 |
+
---
|
| 38 |
+
## Developer
|
| 39 |
+
[Michele Montebovi]
|