Instructions to use austin/adr-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use austin/adr-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="austin/adr-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("austin/adr-ner") model = AutoModelForTokenClassification.from_pretrained("austin/adr-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 056c25fb8919a0b732d1460dcce118e77666db4a09ad58d3a41a247024b1bbb6
- Size of remote file:
- 555 MB
- SHA256:
- bd0239d5cf03e85fa6c20d5597e0c2dbc9cac8eeff8f970402c44b4cc0af0324
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