Instructions to use luohuashijieyoufengjun/ner_based_ChineseModernBert_without_phone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohuashijieyoufengjun/ner_based_ChineseModernBert_without_phone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="luohuashijieyoufengjun/ner_based_ChineseModernBert_without_phone")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("luohuashijieyoufengjun/ner_based_ChineseModernBert_without_phone") model = AutoModelForTokenClassification.from_pretrained("luohuashijieyoufengjun/ner_based_ChineseModernBert_without_phone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddde29e085527d3ca0a7e4f1f0f2db65ebc2c1b4230293f6487bd51dfc5cb4a9
- Size of remote file:
- 5.84 kB
- SHA256:
- 42ae8a4ea33a5add624294832932f40aaedfa998bbf1a1ed024e1865b82e37c8
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