Instructions to use ang-li-lab/VTE-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ang-li-lab/VTE-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ang-li-lab/VTE-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ang-li-lab/VTE-BERT") model = AutoModelForSequenceClassification.from_pretrained("ang-li-lab/VTE-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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###VTE-BERT Hugging Face Model Usage Terms
The hosted AI model contains weights derived from datasets that may include Protected Health Information (PHI). Users must agree to the following:
- The model is provided strictly for research and development purposes.
- It must not be used for diagnostic, treatment, or clinical decision-making.
- Appropriate security and compliance measures must be implemented.
- Any model modifications must comply with AGPLv3.
- Reverse engineering or attempts to extract training data from the model are strictly prohibited.
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