Token Classification
Transformers
PyTorch
Safetensors
English
distilbert
Token Classification
medical
biomedical-nlp
named-entity-recognition
literature-mining
drug-discovery
aurigene
Instructions to use Aurigene-AI/biomedical-ner-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aurigene-AI/biomedical-ner-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aurigene-AI/biomedical-ner-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Aurigene-AI/biomedical-ner-all") model = AutoModelForTokenClassification.from_pretrained("Aurigene-AI/biomedical-ner-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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