Token Classification
GLiNER
PyTorch
English
entity recognition
named-entity-recognition
zero-shot
zero-shot-ner
zero shot
biomedical-nlp
chemical-entity-recognition
drug-discovery
pharmacology
chemistry
chemical
Instructions to use OpenMed/OpenMed-ZeroShot-NER-Chemical-Medium-209M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use OpenMed/OpenMed-ZeroShot-NER-Chemical-Medium-209M with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OpenMed/OpenMed-ZeroShot-NER-Chemical-Medium-209M") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
5885efd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:569d343bcd5759a9c4628662455a3b95e0993035fd9ba263034ac6f727eb9cde
size 780785223
|