Token Classification
GLiNER
PyTorch
English
NER
GLiNER
information-extraction
entity-recognition
biomed
biological-entities
disease
chemical
gene
variant
species
cell-line
biored
Instructions to use anthonyyazdaniml/gliner-biomed-large-v1.0-disease-chemical-gene-variant-species-cellline-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use anthonyyazdaniml/gliner-biomed-large-v1.0-disease-chemical-gene-variant-species-cellline-ner with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("anthonyyazdaniml/gliner-biomed-large-v1.0-disease-chemical-gene-variant-species-cellline-ner") - Notebooks
- Google Colab
- Kaggle
| { | |
| "<<ENT>>": 128001, | |
| "<<SEP>>": 128002, | |
| "[MASK]": 128000 | |
| } | |