Instructions to use Someman/nepali-t5-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Someman/nepali-t5-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Someman/nepali-t5-model") model = AutoModelForSeq2SeqLM.from_pretrained("Someman/nepali-t5-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1da317215cbf63d6d09c08cae671c883cab02667c53b7923a45d9ee47b24f785
- Size of remote file:
- 990 MB
- SHA256:
- 03b3eb005a4c30e844802a35805622ade8e6508128d9c50588e8183f53b064b3
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