Token Classification
MLX
English
openmed
deberta-v2
apple-silicon
pii
de-identification
medical
clinical
Instructions to use OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-141M-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-141M-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenMed-NER-SpeciesDetect-SuperClinical-141M-mlx OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-141M-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- dafd34a58f23366cb6ac9823c6e834f7e33643b38aa0f051ffc0376d77ea74b3
- Size of remote file:
- 565 MB
- SHA256:
- 9cb103ccb7872bac5f7cd03e5a104d842512245a8ae68b9cf69fe60384f7b332
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