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--- |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- GAIR/lima |
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--- |
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|
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``` |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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|
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model_id = "heegyu/Mistral-7B-v0.1-lima" |
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|
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = AutoModelForCausalLM.from_pretrained(model_id) |
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|
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chat = [ |
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{ "role": "user", "content": "Write a hello world program in Rust" }, |
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] |
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inputs = tokenizer.apply_chat_template(chat, tokenize=True, add_generation_prompt=True, return_tensors="pt").to(model.device) |
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outputs = model.generate(input_ids=inputs, max_new_tokens=256) |
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print(tokenizer.decode(outputs[0])) |
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``` |
