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--- |
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license: mit |
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datasets: |
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- Joshi-Aryan/chat_test |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: question-answering |
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tags: |
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- chat |
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--- |
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#Usage |
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<pre> |
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pip install transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "Joshi-Aryan/llama-2-7b-miniguanaco" |
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prompt = "What is a large language model?" |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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sequences = pipeline( |
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f'<s>[INST] {prompt} [/INST]', |
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do_sample=True, |
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top_k=10, |
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num_return_sequences=1, |
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eos_token_id=tokenizer.eos_token_id, |
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max_length=200, |
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) |
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for seq in sequences: |
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print(f"Result: {seq['generated_text']}") |
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</pre> |
