Instructions to use davanstrien/hub-task-tagger-gliner2.5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use davanstrien/hub-task-tagger-gliner2.5-base with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("davanstrien/hub-task-tagger-gliner2.5-base") # 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
davanstrien HF Staff
Weights: GLiNER2.5-base fine-tuned on Hub dataset task tags (v3)
cbe8453 verified Download tokenizer.json from davanstrien/hub-task-tagger-gliner2.5-base: direct link, hf CLI and curl.
- Browser
- Download file 8.33 MB
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https://huggingface.co/davanstrien/hub-task-tagger-gliner2.5-base/resolve/main/tokenizer.json
- Command line
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hf download hf://davanstrien/hub-task-tagger-gliner2.5-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/davanstrien/hub-task-tagger-gliner2.5-base/resolve/main/tokenizer.json
8.33 MB
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