Instructions to use google/byt5-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/byt5-xxl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/byt5-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("google/byt5-xxl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding generation config file(s)
4d04bc1
-
Update README.md (#1)
- Update README.md (bf825b25955328a9e87de2d463023342426ac82b) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>3a43cc5
-
Fix paper link
bc89cb6
-
upload large model weights
6af7c7b
-
remove useless files
f5d459e -
:wqa:Merge branch 'main' of https://huggingface.co/google/byt5-xxl into main
ccb6b1c
-
Update README.md
e64d689 -
Create README.md
cf43b68 -
upload all byt5-xxl files
4c54eb4 -
add tok
78b7860 -
initial commit
7869dcd