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
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### <font color="IndianRed"> Sample input txt file </font>
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The sample input txt file can be downloaded here:
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https://huggingface.co/cbdb/OfficeTitleAddressSplitter/blob/main/
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### <font color="IndianRed"> How to use </font>
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The sample input txt file can be downloaded here:
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https://huggingface.co/cbdb/OfficeTitleAddressSplitter/blob/main/input.txt
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