- Libraries
- MLX
How to use aufklarer/GLiNER2.5-Decide-340M-MLX with MLX:
# Download the model from the Hub
pip install huggingface_hub[hf_xet]
hf download aufklarer/GLiNER2.5-Decide-340M-MLX --local-dir GLiNER2.5-Decide-340M-MLX
- GLiNER
How to use aufklarer/GLiNER2.5-Decide-340M-MLX with GLiNER:
from gliner import GLiNER
model = GLiNER.from_pretrained("aufklarer/GLiNER2.5-Decide-340M-MLX")
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"]) - GLiNER2
How to use aufklarer/GLiNER2.5-Decide-340M-MLX with GLiNER2:
from gliner2 import AutoExtractor
extractor = AutoExtractor.from_pretrained("aufklarer/GLiNER2.5-Decide-340M-MLX")
# Extract entities
text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday."
result = extractor.extract_entities(text, ["company", "person", "product", "location"])
print(result) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
