Instructions to use Mbiot/gliner-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use Mbiot/gliner-custom with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("Mbiot/gliner-custom") 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 assets/topics_fig_connected.png from Mbiot/gliner-custom: direct link, hf CLI and curl.
- Browser
- Download file 172 kB
-
https://huggingface.co/Mbiot/gliner-custom/resolve/main/assets/topics_fig_connected.png
- Command line
-
hf download hf://Mbiot/gliner-custom/assets/topics_fig_connected.png
-
curl -L -o topics_fig_connected.png https://huggingface.co/Mbiot/gliner-custom/resolve/main/assets/topics_fig_connected.png
172 kB

- Xet hash:
- 5f95bb93abdb2a86e1a3241eed3f323a5075dc14b6ab6ea5b64b8482a463d752
- Size of remote file:
- 172 kB
- SHA256:
- d3aecd2cdb60e2861ed82dfc69a33a2a73128e2d0b9dfe57707c3bcc6cb115dd
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