Instructions to use Davlan/oyo-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/oyo-t5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b55680b50f7896924f127120c4b214e4b79891739446bda0d356ec705ed6a583
- Size of remote file:
- 308 MB
- SHA256:
- d31daca24dee25a27053a76a262228586b8667cef2d0b7c102832372ee78c36f
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