Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
protein-interactions
molecular-biology
biochemistry
systems-biology
protein
protein_complex
protein_family
Instructions to use OpenMed/OpenMed-ZeroShot-NER-Protein-Base-220M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Protein-Base-220M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Protein-Base-220M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed3473f34bd4ada4aa8137c495becbd140011a2e38d3230bccd6892eb81b0417
- Size of remote file:
- 1.21 GB
- SHA256:
- 7054939be3c79284cfc82208eef777e98a0b258d1ba96affc892555eda3e7fd6
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