Instructions to use OpenMed/OpenMed-NER-ProteinDetect-ElectraMed-335M-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/OpenMed-NER-ProteinDetect-ElectraMed-335M-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenMed-NER-ProteinDetect-ElectraMed-335M-mlx OpenMed/OpenMed-NER-ProteinDetect-ElectraMed-335M-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 1a8859e77745e7cca2fab8b862ec06e9a22e477472ab29e7cb165965796e5522
- Size of remote file:
- 1.34 GB
- SHA256:
- ed3c9aa537d6be1f29e818029b9b8cc88871f04e675bb7544f724ce30572d44e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.