Token Classification
ONNX
GLiNER2
English
onnxruntime
ner
transaction-extraction
sms-parsing
deberta
on-device
mobile
Instructions to use Sowrabhm/fintext-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use Sowrabhm/fintext-extractor with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("Sowrabhm/fintext-extractor") # 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
Upload onnx/extraction_full_fp32.onnx with huggingface_hub
Browse files
onnx/extraction_full_fp32.onnx
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