Instructions to use zhangbo2008chi/ner_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhangbo2008chi/ner_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zhangbo2008chi/ner_bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zhangbo2008chi/ner_bert") model = AutoModel.from_pretrained("zhangbo2008chi/ner_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9374a21bf60750fe5c9c4f18abe9b992e6456b5620f9438472631dd86267e38d
- Size of remote file:
- 433 MB
- SHA256:
- 294e00b06b15db21630b150a9bb862b0f457dcfe6451ef055d87983e7a1f4ce3
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