Instructions to use Neupane9Sujal/Text_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neupane9Sujal/Text_Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Neupane9Sujal/Text_Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Neupane9Sujal/Text_Summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdec4b17e2e34b74033f59660725237ccb05e2026bad93db1ce56e392ca9a681
- Size of remote file:
- 242 MB
- SHA256:
- 4fa7a8cd0fd0b32bd969b32200d76a51fe602837ccda528e65450d02ba71c48f
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