Token Classification
GLiNER
ONNX
Safetensors
NER
GLiNER
information extraction
encoder
entity recognition
Instructions to use knowledgator/gliner-x-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use knowledgator/gliner-x-large with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("knowledgator/gliner-x-large") 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
[ANSWERED] Comparison vs gliner urchade/gliner_multi-v2.1 ?
1
#6 opened 4 months ago
by
Lellouch
Can be served?
4
#4 opened about 1 year ago
by
prudant
Adding `safetensors` variant of this model
#3 opened about 1 year ago
by
SFconvertbot
About model fine-tuning
2
#2 opened over 1 year ago
by
svk121380
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot