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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-xxl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d295196a7f965a8ae41cb2b286b54a649dd57072da428425f4cc0d2edb9db7e5
- Size of remote file:
- 51.7 GB
- SHA256:
- 8434af68c74e531eecf62bac934a231c85480f7eccddcb23d2b7ed02abb06163
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.