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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8972e377bcfa7151f6b97aa281619d84303f75d0268f12aa2f141470bdf73d6f
- Size of remote file:
- 431 MB
- SHA256:
- 11bf91a5ca2a336894207ce3c719acbc2cb856e07918241c5b31901a02d5b27d
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