Token Classification
MLX
openmed
openai_privacy_filter
apple-silicon
pii
de-identification
privacy-filter
multilingual
Instructions to use OpenMed/privacy-filter-multilingual-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/privacy-filter-multilingual-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir privacy-filter-multilingual-mlx OpenMed/privacy-filter-multilingual-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Update README.md
Browse files
README.md
CHANGED
|
@@ -37,7 +37,7 @@ language:
|
|
| 37 |
|
| 38 |
# OpenMed Privacy Filter (Multilingual) โ MLX BF16
|
| 39 |
|
| 40 |
-
A native [MLX](https://github.com/
|
| 41 |
[`OpenMed/privacy-filter-multilingual`](https://huggingface.co/OpenMed/privacy-filter-multilingual)
|
| 42 |
for fast, on-device fine-grained PII detection across **54 categories**
|
| 43 |
and **16 languages** on Apple Silicon.
|
|
|
|
| 37 |
|
| 38 |
# OpenMed Privacy Filter (Multilingual) โ MLX BF16
|
| 39 |
|
| 40 |
+
A native [MLX](https://github.com/maziyarpanahi/openmed/) port of
|
| 41 |
[`OpenMed/privacy-filter-multilingual`](https://huggingface.co/OpenMed/privacy-filter-multilingual)
|
| 42 |
for fast, on-device fine-grained PII detection across **54 categories**
|
| 43 |
and **16 languages** on Apple Silicon.
|