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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78d3956e7f3940ba3d5b7ed9aff07977e0bc78f744c7d2386c020deb9fe433ae
- Size of remote file:
- 308 MB
- SHA256:
- fdcb277817eaaee27055c877b133d560767270760a679ec02d7c17f5ed9a439b
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