Instructions to use rafmacalaba/gliner-datause-probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use rafmacalaba/gliner-datause-probe with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("rafmacalaba/gliner-datause-probe") text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal." labels = ["person", "date", "location"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"]) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rafmacalaba/gliner-datause-probe: direct link, hf CLI and curl.
- Browser
- Download file 8.34 MB
-
https://huggingface.co/rafmacalaba/gliner-datause-probe/resolve/main/tokenizer.json
- Command line
-
hf download hf://rafmacalaba/gliner-datause-probe/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rafmacalaba/gliner-datause-probe/resolve/main/tokenizer.json
8.34 MB
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