Text Classification
Transformers.js
ONNX
GLiNER2
English
deberta-v2
feature-extraction
webgpu
typed-decisions
open-jev
system-one
Instructions to use onnx-community/GLiNER2.5-Decide-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/GLiNER2.5-Decide-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'onnx-community/GLiNER2.5-Decide-ONNX'); - GLiNER2
How to use onnx-community/GLiNER2.5-Decide-ONNX with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("onnx-community/GLiNER2.5-Decide-ONNX") # 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
File size: 3,360 Bytes
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