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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/pyt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/pyt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from formermagic/pyt5-base: direct link, hf CLI and curl.
- Browser
- Download file 978 MB
-
https://huggingface.co/formermagic/pyt5-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://formermagic/pyt5-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/formermagic/pyt5-base/resolve/main/flax_model.msgpack
978 MB
- Xet hash:
- 895113e9d77f1855cb04172edd6859fbd7a90827de670142abf85a32822c80a5
- Size of remote file:
- 978 MB
- SHA256:
- 8dd8fa94c45164e0b7def44430e692a86e8de05fa997a92006ff9df4e7955f9e
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