Token Classification
Transformers
Safetensors
Chinese
bert
Seq2SeqLM
古文
文言文
中国古代官职地名拆分
ancient
classical
Instructions to use cbdb/OfficeTitleAddressSplitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbdb/OfficeTitleAddressSplitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cbdb/OfficeTitleAddressSplitter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cbdb/OfficeTitleAddressSplitter") model = AutoModelForTokenClassification.from_pretrained("cbdb/OfficeTitleAddressSplitter") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
b43684c | 1 2 3 4 5 6 7 8 | {
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
|