Instructions to use muchad/gliner-id-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use muchad/gliner-id-v2 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("muchad/gliner-id-v2") 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 muchad/gliner-id-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.23 MB
-
https://huggingface.co/muchad/gliner-id-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://muchad/gliner-id-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/muchad/gliner-id-v2/resolve/main/tokenizer.json
2.23 MB
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