Instructions to use city96/mt5-xl-encoder-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use city96/mt5-xl-encoder-fp16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("city96/mt5-xl-encoder-fp16") model = AutoModel.from_pretrained("city96/mt5-xl-encoder-fp16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 592c3f54757609bc4d87b84c73b1450ecbd6ee43d402e86158472e76056068af
- Size of remote file:
- 3.34 GB
- SHA256:
- 32f70f1d187e131a5fc3e4f0edc97ce89360d8e2f1d90177a443a05296097acc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.