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
- Xet hash:
- ffb192d675e62d0fff7d294f141b263f7c63f40d4599d64e2b5b19e7909343e5
- Size of remote file:
- 407 MB
- SHA256:
- 183c226c96a902216f6b6a03b0a7d672b8992de45281c3dd22f707485556370c
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