Instructions to use San-Analytics/ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use San-Analytics/ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="San-Analytics/ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("San-Analytics/ner") model = AutoModelForTokenClassification.from_pretrained("San-Analytics/ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dc568d2d78126b3a96551315322553bcd88ccbc07265b327133cbcdc5c62785
- Size of remote file:
- 5.33 kB
- SHA256:
- 732edc887d11c8467b297e840627bc5295c03597023d159761d0cd8be28e6762
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