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
GLiNER2.5-Decide on Core AI: fp16 graphs S=256/512 (macos JIT, ios h19p AOT), tokenizer, classifier.json, gate fixtures, LICENSE/NOTICE
7464c91 verified Download ios/tokenizer/tokenizer.json from mlboydaisuke/GLiNER2.5-Decide-CoreAI: direct link, hf CLI and curl.
- Browser
- Download file 8.33 MB
-
https://huggingface.co/mlboydaisuke/GLiNER2.5-Decide-CoreAI/resolve/main/ios/tokenizer/tokenizer.json
- Command line
-
hf download hf://mlboydaisuke/GLiNER2.5-Decide-CoreAI/ios/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mlboydaisuke/GLiNER2.5-Decide-CoreAI/resolve/main/ios/tokenizer/tokenizer.json
8.33 MB
File too large to display, you can check the raw version instead.