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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ClinicalNLP/SDOHv7") model = AutoModelForSequenceClassification.from_pretrained("ClinicalNLP/SDOHv7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdd81e0b5d39185e4ee26a7bee9c94450522277c352a7171041fa161dcb9f73d
- Size of remote file:
- 738 MB
- SHA256:
- 615732771a801e0b6172445e22bcdf81adbd36796c199e308d04eeedf9591c76
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