Instructions to use ai4bharat/MultiIndicQuestionGenerationUnified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4bharat/MultiIndicQuestionGenerationUnified with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ai4bharat/MultiIndicQuestionGenerationUnified") model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/MultiIndicQuestionGenerationUnified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bbafe217b23d129850bdbdb777819023aca6047f650bd688fd6ce9032889a08
- Size of remote file:
- 976 MB
- SHA256:
- a3bc98c4bff7fb9c128bbee48abe8a1471d7d604c7e0c5c8d1167484fd702715
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