Instructions to use flax-community/Bengali-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/Bengali-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flax-community/Bengali-t5") model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/Bengali-t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28652b4f89908e09f5d217552671ae242aa1ff1349cde2861f6a9f1597b7e5ca
- Size of remote file:
- 242 MB
- SHA256:
- 3aeb17712163b42aeab40c21ee3f1614dd5331e16c42a60686eed4a2651609ba
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