Token Classification
GLiNER2
Safetensors
English
extractor
Text classification
Intent classification
Sentiment Analysis
Topic classification
Named Entity Recognition
Instructions to use Deepdive404-3/GLiNER2.5-Decide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use Deepdive404-3/GLiNER2.5-Decide with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("Deepdive404-3/GLiNER2.5-Decide") # 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
Download tokenizer.json from Deepdive404-3/GLiNER2.5-Decide: direct link, hf CLI and curl.
- Browser
- Download file 8.33 MB
-
https://huggingface.co/Deepdive404-3/GLiNER2.5-Decide/resolve/main/tokenizer.json
- Command line
-
hf download hf://Deepdive404-3/GLiNER2.5-Decide/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Deepdive404-3/GLiNER2.5-Decide/resolve/main/tokenizer.json
8.33 MB
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