Instructions to use Edgar404/t5_small_default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edgar404/t5_small_default with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Edgar404/t5_small_default") model = AutoModelForSeq2SeqLM.from_pretrained("Edgar404/t5_small_default") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23543c746c0d10e3d2fbc4849a76d98ef2aa77518c32dcd0750f3108f597b5c1
- Size of remote file:
- 17.3 MB
- SHA256:
- ee3c9cb8de95d7beb89e0499bf26bf5a2433e7e6405336bc339af22bf80dc3e7
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