38 lines
1.0 KiB
Markdown
38 lines
1.0 KiB
Markdown
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---
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language:
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- it
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- en
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license: llama3
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library_name: transformers
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base_model: meta-llama/Meta-Llama-3-8B
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## How to Use
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---
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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MODEL_NAME = "DeepMount00/Llama-3.1-Distilled"
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model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.bfloat16).eval()
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model.to(device)
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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def generate_answer(prompt):
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messages = [
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{"role": "user", "content": prompt},
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]
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model_inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(device)
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generated_ids = model.generate(model_inputs, max_new_tokens=200, do_sample=True,
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temperature=0.001)
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decoded = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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return decoded[0]
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prompt = "Come si apre un file json in python?"
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answer = generate_answer(prompt)
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print(answer)
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```
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---
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## Developer
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[Michele Montebovi]
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