Text Classification
Transformers
Safetensors
English
bert
clinical-nlp
biomedical-nlp
medical
venous-thromboembolism
deidentified-training-data
text-embeddings-inference
Instructions to use omid-jf/VTE-BERT-DeID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omid-jf/VTE-BERT-DeID with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omid-jf/VTE-BERT-DeID")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omid-jf/VTE-BERT-DeID") model = AutoModelForSequenceClassification.from_pretrained("omid-jf/VTE-BERT-DeID", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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