Instructions to use nipunsadvilkar/marathi-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nipunsadvilkar/marathi-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nipunsadvilkar/marathi-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("nipunsadvilkar/marathi-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b58067ce7feaab28ca11a1ed3822bba276afbcab4b4b71d2ca76ebf84239d01f
- Size of remote file:
- 990 MB
- SHA256:
- 2e689ecab3bd26f857b63137a97a60a52b4b2c1c5d42331014bc1a8a465537ce
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