Token Classification
Transformers
Safetensors
Chinese
bert
Seq2SeqLM
古文
文言文
ancient
classical
作者书名拆分
Instructions to use cbdb/PersonAndBookTitleSplitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbdb/PersonAndBookTitleSplitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cbdb/PersonAndBookTitleSplitter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cbdb/PersonAndBookTitleSplitter") model = AutoModelForTokenClassification.from_pretrained("cbdb/PersonAndBookTitleSplitter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36eead77bab54596c847a80cb83ed439712636fceecd171412d5284ff4bc7d1c
- Size of remote file:
- 407 MB
- SHA256:
- c97728d8a44e762a51f4acd0ce94ab9f2450f562ff8810dccb8a4a4c5d74411c
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