Instructions to use Davlan/oyo-t5-tiny-v16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-t5-tiny-v16k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-t5-tiny-v16k") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/oyo-t5-tiny-v16k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a18a9cc5fde27893ba51ad4040f01bea0efaa4d837d8cf781bbdf46293d0197
- Size of remote file:
- 70.7 MB
- SHA256:
- ec4ec1c049a3d9acf65db558ba36c59db5266497fe5c84e6b5429f0890c100a1
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