Token Classification
MLX
openmed
openai_privacy_filter
apple-silicon
pii
de-identification
privacy-filter
multilingual
Instructions to use OpenMed/privacy-filter-multilingual-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/privacy-filter-multilingual-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir privacy-filter-multilingual-mlx OpenMed/privacy-filter-multilingual-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Initial publish of OpenMed/privacy-filter-multilingual-mlx. MLX BF16 export of OpenMed/privacy-filter-multilingual produced via the OpenMed export pipeline. See the base PyTorch repo for training details.
c334d13 verified - Xet hash:
- 59f22360b51bf1a137fb80e14df310b4b249bed6cc64565aa0c401ca19ffcd04
- Size of remote file:
- 27.9 MB
- SHA256:
- 0614fe83cadab421296e664e1f48f4261fa8fef6e03e63bb75c20f38e37d07d3
ยท
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