Token Classification
MLX
English
openmed
deberta-v2
apple-silicon
pii
de-identification
medical
clinical
Instructions to use OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-184M-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-184M-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-184M-mlx --local-dir OpenMed-NER-SpeciesDetect-SuperClinical-184M-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-184M-mlx: direct link, hf CLI and curl.
- Browser
- Download file 8.34 MB
-
https://huggingface.co/OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-184M-mlx/resolve/main/tokenizer.json
- Command line
-
hf download hf://OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-184M-mlx/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-184M-mlx/resolve/main/tokenizer.json
8.34 MB
File too large to display, you can check the raw version instead.