Instructions to use google/mt5-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-xxl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-xxl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.b14119d
-
Adding generation config file(s)
e07c395
-
Update README.md (#1)
- Update README.md (b8156d3f71d19dcbe2f18722de1ab3f168b3fb46) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>d4ac5e6
-
add flax/jax
dd2fa87
-
Merge branch 'main' of https://huggingface.co/google/mt5-xxl into main
Patrick von Platencb571f2 -
upload all mt5-xxl files
Patrick von Platen3a0e397 -
Create README.md
5886d06 -
initial commit
199eaf5