Feature Extraction
Transformers
Safetensors
English
bert
medical-diagnosis
sapbert
ddxplus
pubmedbert
disease-classification
differential-diagnosis
text-embeddings-inference
Instructions to use acharya-jyu/sapbert-pubmedbert-ddxplus-50k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acharya-jyu/sapbert-pubmedbert-ddxplus-50k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="acharya-jyu/sapbert-pubmedbert-ddxplus-50k")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("acharya-jyu/sapbert-pubmedbert-ddxplus-50k") model = AutoModel.from_pretrained("acharya-jyu/sapbert-pubmedbert-ddxplus-50k") - Notebooks
- Google Colab
- Kaggle
Ctrl+K