Instructions to use flax-community/ft5-base-openwebtext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/ft5-base-openwebtext with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/ft5-base-openwebtext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5d713b9fe83fbbe4654a58c3fe9d952813e0100e9c748fb91cc75923464cb6e
- Size of remote file:
- 778 MB
- SHA256:
- 81615c4817e83bf82f7e14daba25760c1124f9668f5a1d9978c7bfa008e77dd9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.