Instructions to use bmuzuraimov/privacy-filter-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bmuzuraimov/privacy-filter-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bmuzuraimov/privacy-filter-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22e4ceaf93ef0d4f8db55d1d3d2dba0c9416c10a5a9d62a240eda94c8178fcfb
- Size of remote file:
- 27.9 MB
- SHA256:
- 506fb922be21bad5033101b462b9c3d7641312fdfab40ead4521989c9ac19b84
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