Instructions to use San-Analytics/ner-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use San-Analytics/ner-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="San-Analytics/ner-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("San-Analytics/ner-bert") model = AutoModelForTokenClassification.from_pretrained("San-Analytics/ner-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afe88339d726414f0227a82227309f092881a2ffcddf6ee0337c36c4571b4b1f
- Size of remote file:
- 5.14 kB
- SHA256:
- 622f013b0625723afd99988a622cd1830c3333a7b15f2b5beef4358a9672bcd1
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