Text Classification
Transformers
PyTorch
English
deberta-v2
Trained with AutoTrain
healthcare
sdoh
social determinants of health
text-embeddings-inference
Instructions to use ClinicalNLP/SDOHv7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClinicalNLP/SDOHv7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ClinicalNLP/SDOHv7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ClinicalNLP/SDOHv7") model = AutoModelForSequenceClassification.from_pretrained("ClinicalNLP/SDOHv7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
License changed to apache 2.0
Verified signaturea446dfb
-
Update README.md
1d661c0
-
Update README.md
2396519 -
Update README.md
f409b9e
-
Update README.md
238ca01 -
Update README.md
628ac0b -
Update README.md
6e48182 -
Update README.md
8fead35
-
Commit From AutoTrain
fbbead0 -
initial commit
2c2c4fc