Instructions to use Davlan/oyo-mt-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-mt-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-mt-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/oyo-mt-t5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cff09f0e5004c94443467dd3a881604342c9c59fa73d39ab202bb270a8659e0
- Size of remote file:
- 308 MB
- SHA256:
- 74a7a307c4996f3eb1a2a016978b92ca613cbff93764e21dc63a26e2a24d8b00
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