Instructions to use FluidInference/gliner2-5-decide-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use FluidInference/gliner2-5-decide-coreml with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("FluidInference/gliner2-5-decide-coreml") # 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
Ctrl+K
- encoder_config
- gliner2_decide_classification_fp16_L128_H4_K32.mlpackage
- gliner2_decide_classification_fp16_L128_H4_K8.mlpackage
- gliner2_decide_classification_fp16_L256_H4_K32.mlpackage
- gliner2_decide_classification_fp16_L512_H4_K32.mlpackage
- gliner2_decide_classification_lut6_L128_H4_K8.mlpackage
- gliner2_decide_classification_lut6_L256_H4_K32.mlpackage
- gliner2_decide_classification_lut6_L512_H4_K32.mlpackage
- gliner2_decide_classification_w8_L128_H4_K32.mlpackage
- gliner2_decide_classification_w8_L128_H4_K8.mlpackage
- gliner2_decide_classification_w8_L256_H4_K32.mlpackage
- gliner2_decide_classification_w8_L512_H4_K32.mlpackage
- reports
- tests
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