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:
- c5f72c91db1de91ed2650668de4b912265f4b67d61c637880e55cad15812543d
- Size of remote file:
- 337 MB
- SHA256:
- 162486021e7c65cbd8bba3c264fcfe31921783dc7a3d81c1e90283e44cbca1ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.