Token Classification
MLX
English
openmed
xlm-roberta
apple-silicon
pii
de-identification
medical
clinical
Instructions to use OpenMed/OpenMed-NER-DiseaseDetect-BigMed-278M-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/OpenMed-NER-DiseaseDetect-BigMed-278M-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenMed-NER-DiseaseDetect-BigMed-278M-mlx OpenMed/OpenMed-NER-DiseaseDetect-BigMed-278M-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- b30b8f0f7c902b023429fce2d528b0b623595c30deff3a6f21641fdaa2e2dbee
- Size of remote file:
- 1.11 GB
- SHA256:
- 56862f13c52d89166d2aea20b9995be9fc53fbc1e0e8ddf798578dfde0e4dcab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.