Token Classification
MLX
openmed
openai_privacy_filter
apple-silicon
pii
de-identification
medical
clinical
privacy-filter
multilingual
bf16
full-precision
Instructions to use OpenMed/privacy-filter-multilingual-v2-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/privacy-filter-multilingual-v2-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir privacy-filter-multilingual-v2-mlx OpenMed/privacy-filter-multilingual-v2-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 715 Bytes
11061d3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"format": "openmed-mlx",
"format_version": 2,
"task": "token-classification",
"family": "openai-privacy-filter",
"source_model_id": "OpenMed/privacy-filter-multilingual-v2",
"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": 131072,
"tokenizer": {
"path": ".",
"files": [
"tokenizer.json",
"tokenizer_config.json"
]
},
"runtime": {
"experimental": true,
"decode": "bioes-viterbi",
"tokenizer": "tiktoken"
}
} |