Token Classification
MLX
openmed
openai_privacy_filter
apple-silicon
pii
de-identification
privacy-filter
multilingual
Instructions to use OpenMed/privacy-filter-multilingual-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/privacy-filter-multilingual-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir privacy-filter-multilingual-mlx-8bit OpenMed/privacy-filter-multilingual-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Initial publish of OpenMed/privacy-filter-multilingual-mlx-8bit. MLX 8BIT export of OpenMed/privacy-filter-multilingual produced via the OpenMed export pipeline. See the base PyTorch repo for training details.
7712c3a verified | { | |
| "backend": "tokenizers", | |
| "eos_token": "<|endoftext|>", | |
| "is_local": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 128000, | |
| "pad_token": "<|endoftext|>", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |