Instructions to use rafmacalaba/gliner2_datause with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use rafmacalaba/gliner2_datause with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("rafmacalaba/gliner2_datause") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
Upload holdout_metrics.json with huggingface_hub
Browse files- holdout_metrics.json +118 -0
holdout_metrics.json
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