How to use OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M-mlx --local-dir OpenMed-ZeroShot-NER-Genome-Large-459M-mlx
How to use OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M-mlx with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M-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"])
https://huggingface.co/OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M-mlx/resolve/main/id2label.json
hf download hf://OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M-mlx/id2label.json
curl -L -o id2label.json https://huggingface.co/OpenMed/OpenMed-ZeroShot-NER-Genome-Large-459M-mlx/resolve/main/id2label.json
