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
License changed to apache 2.0
Browse files
README.md
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co2_eq_emissions:
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emissions: 0.01134763220649804
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pipeline_tag: text-classification
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---
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# Model Trained Using AutoTrain
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co2_eq_emissions:
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emissions: 0.01134763220649804
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pipeline_tag: text-classification
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license: apache-2.0
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---
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# Model Trained Using AutoTrain
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