Token Classification
MLX
English
openmed
distilbert
apple-silicon
pii
de-identification
medical
clinical
Instructions to use OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenMed-NER-AnatomyDetect-TinyMed-66M-mlx OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- c88cac66ebc4468687eedf92e980efe66d8a2552bc4be6f746247c7cda1240f0
- Size of remote file:
- 265 MB
- SHA256:
- 09857941538d5bc9cf7a0c248f38daf6ad671b9f995777695f8d424c3844e910
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.