Instructions to use ai4bharat/MultiIndicSentenceSummarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4bharat/MultiIndicSentenceSummarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ai4bharat/MultiIndicSentenceSummarization") model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicSentenceSummarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfd073af8cd103aa823cb92d427f07c33d2a320afa1437f4fa4ecc93fd7d2975
- Size of remote file:
- 976 MB
- SHA256:
- 63ecf14987325fa817fa6059835b2b05010bb13e6e3c7c823ec057934cc5c773
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