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:
- 9694cadce2fcdc82be6b79b6e8487cf947cb8dc67647bef16033b5ce29f28f8f
- Size of remote file:
- 1.23 GB
- SHA256:
- e7609a031219a1e4c32fd253c89a5bbe08132e5560740342edbc9f95e3193d5d
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