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
Download id2label.json from OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M-mlx: direct link, hf CLI and curl.
- Browser
- Download file 54 Bytes
-
https://huggingface.co/OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M-mlx/resolve/main/id2label.json
- Command line
-
hf download hf://OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M-mlx/id2label.json
-
curl -L -o id2label.json https://huggingface.co/OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M-mlx/resolve/main/id2label.json
54 Bytes
| { | |
| "0": "O", | |
| "1": "B-Anatomy", | |
| "2": "I-Anatomy" | |
| } |