Text Classification
Adapters
Safetensors
Chinese
bert
Multi-label Text Classification
Eval Results (legacy)
Instructions to use scfengv/TVL_GeneralLayerClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use scfengv/TVL_GeneralLayerClassifier with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("scfengv/TVL_GeneralLayerClassifier", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3611060de69c0e03502765502958c248b59a56c96f8657cd59d7826abd5e15bf
- Size of remote file:
- 409 MB
- SHA256:
- 6d7dae159b7de063195b05f2fc19a13d0e48aadf3d5cd8132feab71e57a27b90
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