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@@ -35,3 +35,24 @@ To use this model, ensure you have the necessary libraries installed. You can in
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  ```bash
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  pip install transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bash
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  pip install transformers
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+ ## Usage
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+
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+ Here’s an example of how to load and use the model for text generation:
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model_name = "your_model_name" # Replace with your model's name
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+
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+ # Load model and tokenizer
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+ model = AutoModelForCausalLM.from_pretrained(model_name)
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+
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+ # Generate text
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+ input_text = "What are the symptoms of diabetes?"
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+ input_ids = tokenizer.encode(input_text, return_tensors='pt')
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+
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+ output = model.generate(input_ids, max_length=150)
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+ generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
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+
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+ print(generated_text)