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README.md
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library_name: adapter-transformers
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---
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# Model Trained Using AutoTrain
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library_name: adapter-transformers
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---
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# Model Trained Using AutoTrain
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Code for Training:
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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 = "meta-llama/Llama-2-7b-chat-hf"
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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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'I liked "Breaking Bad" and "Band of Brothers". Do you have any recommendations of other shows I might like?\n',
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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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