Instructions to use OpenMed/OpenMed-NER-GenomicDetect-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-GenomicDetect-ElectraMed-335M-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenMed-NER-GenomicDetect-ElectraMed-335M-mlx OpenMed/OpenMed-NER-GenomicDetect-ElectraMed-335M-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download openmed-mlx.json from OpenMed/OpenMed-NER-GenomicDetect-ElectraMed-335M-mlx: direct link, hf CLI and curl.
- Browser
- Download file 601 Bytes
-
https://huggingface.co/OpenMed/OpenMed-NER-GenomicDetect-ElectraMed-335M-mlx/resolve/d17817a62552a9f59a6f1693fd64e07762f0ccee/openmed-mlx.json
- Command line
-
hf download hf://OpenMed/OpenMed-NER-GenomicDetect-ElectraMed-335M-mlx@d17817a62552a9f59a6f1693fd64e07762f0ccee/openmed-mlx.json
-
curl -L -o openmed-mlx.json https://huggingface.co/OpenMed/OpenMed-NER-GenomicDetect-ElectraMed-335M-mlx/resolve/d17817a62552a9f59a6f1693fd64e07762f0ccee/openmed-mlx.json
601 Bytes
| { | |
| "format": "openmed-mlx", | |
| "format_version": 2, | |
| "task": "token-classification", | |
| "family": "bert", | |
| "source_model_id": "OpenMed/OpenMed-NER-GenomicDetect-ElectraMed-335M", | |
| "config_path": "config.json", | |
| "label_map_path": "id2label.json", | |
| "preferred_weights": "weights.safetensors", | |
| "fallback_weights": [ | |
| "weights.npz" | |
| ], | |
| "available_weights": [ | |
| "weights.safetensors" | |
| ], | |
| "weights_format": "safetensors", | |
| "quantization": null, | |
| "max_sequence_length": 512, | |
| "tokenizer": { | |
| "path": ".", | |
| "files": [ | |
| "tokenizer.json", | |
| "tokenizer_config.json" | |
| ] | |
| } | |
| } |