Token Classification
GLiNER
PyTorch
ONNX
English
multilingual
named-entity-recognition
information-extraction
legal
contracts
nlp
Instructions to use agilelab-org/Contractner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use agilelab-org/Contractner with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("agilelab-org/Contractner") 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
Download model.onnx from agilelab-org/Contractner: direct link, hf CLI and curl.
- Browser
- Download file 1.16 GB
-
https://huggingface.co/agilelab-org/Contractner/resolve/main/model.onnx
- Command line
-
hf download hf://agilelab-org/Contractner/model.onnx
-
curl -L -o model.onnx https://huggingface.co/agilelab-org/Contractner/resolve/main/model.onnx
1.16 GB
- Xet hash:
- 768ee88d95a1f3847a1ee380c297fa336fe7523b976fb3ae5ed3e2aaefee7eb8
- Size of remote file:
- 1.16 GB
- SHA256:
- 5cace66c10a1a4690b30d005de980b5d3cf21bab88496bdba2a9e96d2efac116
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