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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4301bae74ba3a46e5d58a90b943cd10e8aa0ea962cd21d4963b892e8fda9e182
|
| 3 |
+
size 737788068
|