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
File size: 367 Bytes
4eb9c10 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"clean_up_tokenization_spaces": true,
"cls_token": "[CLS]",
"do_basic_tokenize": true,
"do_lower_case": false,
"mask_token": "[MASK]",
"model_max_length": 512,
"never_split": null,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "BertTokenizer",
"unk_token": "[UNK]"
}
|