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
- Xet hash:
- 04c39ad288010723db5142f19a2a60fe60c47f1662e7517d9e34fe3a3e4c4136
- Size of remote file:
- 14.2 kB
- SHA256:
- d580c3ed54ef2a0469dcb6e79a535bf59f981c1f6b6ae2feb072dded90424d4e
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