Zero-Shot Classification
Core ML
GLiNER
GLiNER2
English
coremltools
deberta-v3
apple-silicon
fp16
multifunction
Instructions to use augustoFranke/GLiNER2.5-Decide-CoreML-FP16-MultiFn-L64-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use augustoFranke/GLiNER2.5-Decide-CoreML-FP16-MultiFn-L64-512 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("augustoFranke/GLiNER2.5-Decide-CoreML-FP16-MultiFn-L64-512") - GLiNER2
How to use augustoFranke/GLiNER2.5-Decide-CoreML-FP16-MultiFn-L64-512 with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("augustoFranke/GLiNER2.5-Decide-CoreML-FP16-MultiFn-L64-512") # 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
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