Instructions to use formermagic/pyt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/pyt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/pyt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/pyt5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 895113e9d77f1855cb04172edd6859fbd7a90827de670142abf85a32822c80a5
- Size of remote file:
- 978 MB
- SHA256:
- 8dd8fa94c45164e0b7def44430e692a86e8de05fa997a92006ff9df4e7955f9e
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