Instructions to use knowledgator/gliner-decoder-large-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use knowledgator/gliner-decoder-large-v1.0 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("knowledgator/gliner-decoder-large-v1.0") 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 knowledgator/gliner-decoder-large-v1.0: direct link, hf CLI and curl.
- Browser
- Download file 2.06 GB
-
https://huggingface.co/knowledgator/gliner-decoder-large-v1.0/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://knowledgator/gliner-decoder-large-v1.0/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/knowledgator/gliner-decoder-large-v1.0/resolve/main/pytorch_model.bin
2.06 GB
- Xet hash:
- e4f6b8009a18593eb9f8238fedb4f5f88b5744322e2c51c75ab641fa8f849877
- Size of remote file:
- 2.06 GB
- SHA256:
- 37c9b4057d40eaf8bd6422c5411050d168e6fc8c8ddb7d0295ffe13a5774a412
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