Instructions to use pkcpkc/gbert-base-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use pkcpkc/gbert-base-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download pkcpkc/gbert-base-mlx --local-dir gbert-base-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download 1_Pooling/config.json from pkcpkc/gbert-base-mlx: direct link, hf CLI and curl.
- Browser
- Download file 191 Bytes
-
https://huggingface.co/pkcpkc/gbert-base-mlx/resolve/main/1_Pooling/config.json
- Command line
-
hf download hf://pkcpkc/gbert-base-mlx/1_Pooling/config.json
-
curl -L -o config.json https://huggingface.co/pkcpkc/gbert-base-mlx/resolve/main/1_Pooling/config.json
191 Bytes
| { | |
| "word_embedding_dimension": 768, | |
| "pooling_mode_cls_token": false, | |
| "pooling_mode_mean_tokens": true, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false | |
| } | |