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README.md
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- **Fine-tuned for**: Text Summarization
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- **Fine-tuning dataset**: [xsum]
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### Installation:
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You can install the necessary libraries using pip:
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```bash
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inputs = tokenizer([text_to_summarize], max_length=1024, return_tensors='pt', truncation=True)
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summary_ids = model.generate(inputs['input_ids'], max_length=100, num_beams=4, early_stopping=True)
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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# Print the generated summary
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print("Input Text:")
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print(text_to_summarize)
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print("\nGenerated Summary:")
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print(summary)
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- **Fine-tuned for**: Text Summarization
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- **Fine-tuning dataset**: [xsum]
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### Inference
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```bash
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("suriya7/text_summarize")
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model = AutoModelForSeq2SeqLM.from_pretrained("suriya7/text_summarize")
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def generate_summary(text):
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inputs = tokenizer([text], max_length=1024, return_tensors='pt', truncation=True)
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summary_ids = model.generate(inputs['input_ids'],max_new_tokens=100, do_sample=False)
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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return summary
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text_to_summarize = "Now, there is no doubt that one of the most important aspects of any Pixel phone is its camera.
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And there might be good news for all camera lovers. Rumours have suggested that the Pixel 9 could come with a telephoto lens,
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improving its photography capabilities even further. Google will likely continue to focus on using AI to
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enhance its camera performance, in order to make sure that Pixel phones remain top contenders in the world of mobile photography"
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summary = generate_summary(text_to_summarize)
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