Instructions to use taeminlee/gliner_ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use taeminlee/gliner_ko with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("taeminlee/gliner_ko") 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 pytorch_model.bin from taeminlee/gliner_ko: direct link, hf CLI and curl.
- Browser
- Download file 1.21 GB
-
https://huggingface.co/taeminlee/gliner_ko/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://taeminlee/gliner_ko/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/taeminlee/gliner_ko/resolve/main/pytorch_model.bin
1.21 GB
- Xet hash:
- dba352da609e4d336fb7c615574d4a978e8cf557994e4f1dbdf15b60b009bdf0
- Size of remote file:
- 1.21 GB
- SHA256:
- e9263ace777fa9929306d62f1c81378556657f5f3a9fcd2a6ceb6ba7e3e8a636
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