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README.md
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@@ -3,6 +3,7 @@ license: mit
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language:
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- en
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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---
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# LLaMA 3 8B - ChatDoctor Model
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@@ -33,9 +34,4 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load the fine-tuned model and tokenizer
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model = AutoModelForCausalLM.from_pretrained("abhiyanta/llama-chatdoctor")
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tokenizer = AutoTokenizer.from_pretrained("abhiyanta/llama-chatdoctor")
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# Generate text
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inputs = tokenizer("What are the symptoms of diabetes?", return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=50)
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print(tokenizer.decode(outputs[0]))
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language:
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- en
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: transformers
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---
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# LLaMA 3 8B - ChatDoctor Model
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# Load the fine-tuned model and tokenizer
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model = AutoModelForCausalLM.from_pretrained("abhiyanta/llama-chatdoctor")
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tokenizer = AutoTokenizer.from_pretrained("abhiyanta/llama-chatdoctor")
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