Text Classification
GLiNER
English
coreai
coreai-aimodel
core-ai
coreaikit
apple
on-device
zero-shot-classification
deberta
typed-decisions
Instructions to use mlboydaisuke/GLiNER2.5-Decide-CoreAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use mlboydaisuke/GLiNER2.5-Decide-CoreAI with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("mlboydaisuke/GLiNER2.5-Decide-CoreAI") text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal." labels = ["person", "date", "location"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"]) - Notebooks
- Google Colab
- Kaggle
File size: 307 Bytes
7464c91 | 1 2 3 4 5 6 7 8 | {
"model_type": "coreai-aimodel",
"format": "aimodel",
"framework": "Apple Core AI (iOS 27 / macOS 27)",
"repository": "https://github.com/john-rocky/coreai-model-zoo",
"note": "Converted .aimodel bundles for Apple's Core AI framework. See README.md for the bundle layout and run instructions."
}
|