Instructions to use gliner-community/gliner_large-v2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use gliner-community/gliner_large-v2.5 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("gliner-community/gliner_large-v2.5") 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.bf16.safetensors from gliner-community/gliner_large-v2.5: direct link, hf CLI and curl.
- Browser
- Download file 919 MB
-
https://huggingface.co/gliner-community/gliner_large-v2.5/resolve/main/model.bf16.safetensors
- Command line
-
hf download hf://gliner-community/gliner_large-v2.5/model.bf16.safetensors
-
curl -L -o model.bf16.safetensors https://huggingface.co/gliner-community/gliner_large-v2.5/resolve/main/model.bf16.safetensors
919 MB
- Xet hash:
- 748b2f40d722fb6cb81b10738f79fb3efba12c55ef6a29ed28119999e293328f
- Size of remote file:
- 919 MB
- SHA256:
- 06912296663317861711478decd0e8d86712dfec1b14b5018cbed7ffb28ad83a
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