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("fill-in-model-name") model.load_adapter("scfengv/TVL_GeneralLayerClassifier", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from scfengv/TVL_GeneralLayerClassifier: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/scfengv/TVL_GeneralLayerClassifier/resolve/4eb9c10a46c2bbf98c154648c9bbe7828f3f99bb/pytorch_model.bin
- Command line
-
hf download hf://scfengv/TVL_GeneralLayerClassifier@4eb9c10a46c2bbf98c154648c9bbe7828f3f99bb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/scfengv/TVL_GeneralLayerClassifier/resolve/4eb9c10a46c2bbf98c154648c9bbe7828f3f99bb/pytorch_model.bin
409 MB
- Xet hash:
- 7c74564f56f57c9380a4aeded385de9d611407f913247f23a9eeef0a64cfda06
- Size of remote file:
- 409 MB
- SHA256:
- 7ea66227b4ab61d35cf3983c2aedc7f1479f26979222d744d5d7103b2d5e139c
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