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README.md
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* **Smart Truncation:** Trained to handle articles between 200–1000 words perfectly.
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* **No "Robot Speak":** Fine-tuned to produce natural, flowing English rather than broken sentence fragments.
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## How to Use
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```python
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from transformers import pipeline
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# Load the model directly from Hugging Face
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semi-transparent in near-infrared light.
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"""
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#
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summary = summarizer(text, max_length=60, min_length=20, do_sample=False)
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print("Summary:", summary[0]['summary_text'])
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* **Smart Truncation:** Trained to handle articles between 200–1000 words perfectly.
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* **No "Robot Speak":** Fine-tuned to produce natural, flowing English rather than broken sentence fragments.
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## 🛠️ How to Use (Python)
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First, install the required libraries:
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```bash
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pip install transformers sentencepiece
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from transformers import pipeline
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# Load the model directly from Hugging Face
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semi-transparent in near-infrared light.
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"""
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# Summary
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summary = summarizer(text, max_length=60, min_length=20, do_sample=False)
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print("Summary:", summary[0]['summary_text'])
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