Instructions to use ai4bharat/MultiIndicQuestionGenerationSS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4bharat/MultiIndicQuestionGenerationSS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ai4bharat/MultiIndicQuestionGenerationSS") model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicQuestionGenerationSS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ai4bharat/MultiIndicQuestionGenerationSS: direct link, hf CLI and curl.
- Browser
- Download file 976 MB
-
https://huggingface.co/ai4bharat/MultiIndicQuestionGenerationSS/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ai4bharat/MultiIndicQuestionGenerationSS/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ai4bharat/MultiIndicQuestionGenerationSS/resolve/main/pytorch_model.bin
976 MB
- Xet hash:
- 0c0161375620ec8f856ac22a2b59713b5b8d739b080af4740676be2cba08cc0b
- Size of remote file:
- 976 MB
- SHA256:
- dc6f4d6e29c4f98bd76ca70d4fc8a30ccd9a15685a2a2a021bafd44435f26589
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