Token Classification
MLX
English
openmed
distilbert
apple-silicon
pii
de-identification
medical
clinical
Instructions to use OpenMed/OpenMed-PII-LiteClinical-Small-66M-v1-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/OpenMed-PII-LiteClinical-Small-66M-v1-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenMed-PII-LiteClinical-Small-66M-v1-mlx OpenMed/OpenMed-PII-LiteClinical-Small-66M-v1-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 687f4c2893a8b7af1ebea107797ea4550b0e7a7d79018e9d5c73d93a57465d38
- Size of remote file:
- 266 MB
- SHA256:
- 0e5c12fe669d91a39088902157b92f1e649622b35de3feeba48d94693f0a8848
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