Instructions to use mircq/GLINER-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use mircq/GLINER-INT8 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("mircq/GLINER-INT8") - GLiNER2
How to use mircq/GLINER-INT8 with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("mircq/GLINER-INT8") # 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
- Xet hash:
- 19f5d0fd22a189be5f21f0986cfe43acee4bb867a334590c5e9dfe143e0d7c2b
- Size of remote file:
- 16.6 MB
- SHA256:
- 6cb04115e8a85de950e81f2551713b34ac8a7b9fd4868e90c2d580fdadc6d6a1
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