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 trainer_state.json from agilelab-org/Contractner: direct link, hf CLI and curl.
- Browser
- Download file 5.74 kB
-
https://huggingface.co/agilelab-org/Contractner/resolve/main/trainer_state.json
- Command line
-
hf download hf://agilelab-org/Contractner/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/agilelab-org/Contractner/resolve/main/trainer_state.json
5.74 kB
- Xet hash:
- 7b61017d96dfe1f8eb017848ece70f16d7e63b50610d65e7f1339b9000df2a57
- Size of remote file:
- 5.74 kB
- SHA256:
- b20b3893108c9a6b38a6ce2f40adcfa249b79d656a99049fbee6de9804940485
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