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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55e876d272ae5d7303ee58c6a01ee84bb7f347ab115c94115f5b7195b1b22b90
- Size of remote file:
- 431 MB
- SHA256:
- b5ba3d24105eb8fab40462fa551ef866634b1d6b6a5797093eda287f306bb5b3
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