Instructions to use Mia2024/CS5100TextSummarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mia2024/CS5100TextSummarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mia2024/CS5100TextSummarization") model = AutoModelForSeq2SeqLM.from_pretrained("Mia2024/CS5100TextSummarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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### Model Sources [optional]
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- **Repository:** Final folder in [Github CS6120NLP](https://github.com/awakn123/CS6120NLP)
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- **Demo:** [Space link](https://huggingface.co/spaces/
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### Model Sources [optional]
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- **Repository:** Final folder in [Github CS6120NLP](https://github.com/awakn123/CS6120NLP)
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- **Demo:** [Space link](https://huggingface.co/spaces/Mia2024/CS5100TextSummarization).
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