Instructions to use ai4bharat/MultiIndicSentenceSummarizationSS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4bharat/MultiIndicSentenceSummarizationSS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ai4bharat/MultiIndicSentenceSummarizationSS") model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicSentenceSummarizationSS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ai4bharat/MultiIndicSentenceSummarizationSS: direct link, hf CLI and curl.
- Browser
- Download file 976 MB
-
https://huggingface.co/ai4bharat/MultiIndicSentenceSummarizationSS/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ai4bharat/MultiIndicSentenceSummarizationSS/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ai4bharat/MultiIndicSentenceSummarizationSS/resolve/main/pytorch_model.bin
976 MB
- Xet hash:
- fcb0079588f936757d331f8e7309ec209a9e063dff4559464ac40d48ed61772f
- Size of remote file:
- 976 MB
- SHA256:
- fec5c5ded1ded06c5771bed6ce7764d52e2c9140cfad81c49fe16fcf1af1dc5b
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