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-XLarge-770M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Protein-XLarge-770M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Protein-XLarge-770M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 325bd10d42dc42ccd407141b032db29f9d4a705d1504e8660ec909c74e13f741
- Size of remote file:
- 2.43 GB
- SHA256:
- 865b5c0a67c6d27918a4163f236c77d62528b357afd0f01c2defad99654e211a
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