Instructions to use thomasht86/mxbai-crossencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thomasht86/mxbai-crossencoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thomasht86/mxbai-crossencoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thomasht86/mxbai-crossencoder: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/thomasht86/mxbai-crossencoder/resolve/main/tokenizer.json
- Command line
-
hf download hf://thomasht86/mxbai-crossencoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/thomasht86/mxbai-crossencoder/resolve/main/tokenizer.json
8.65 MB
File too large to display, you can check the raw version instead.