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 tokenizer_config.json from pkcpkc/gbert-base-mlx: direct link, hf CLI and curl.
- Browser
- Download file 263 Bytes
-
https://huggingface.co/pkcpkc/gbert-base-mlx/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://pkcpkc/gbert-base-mlx/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/pkcpkc/gbert-base-mlx/resolve/main/tokenizer_config.json
263 Bytes
| { | |
| "do_lower_case": false, | |
| "init_inputs": [], | |
| "strip_accents": false, | |
| "tokenizer_class": "BertTokenizer", | |
| "model_max_length": 512, | |
| "cls_token": "[CLS]", | |
| "sep_token": "[SEP]", | |
| "pad_token": "[PAD]", | |
| "unk_token": "[UNK]", | |
| "mask_token": "[MASK]" | |
| } | |