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:
- 49bce0d71ebca7b5fd1c41036515153a53c7772290a2212b352270570ada57ae
- Size of remote file:
- 16.3 MB
- SHA256:
- ddb1b00035edffde435e24e69011b7f552691405237455cb7c3a59c890682807
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