We used GPT4.1-nano to classify generic texts from OSCAR as non-medical/medical using PubScience. We labeled 400.000 texts, with about 40.000 labeled as positive. We then trained a SequenceClassifier on 80.000 samples with a 50/50 class ratio.
This can be used e.g. to approximately identify medical texts in general corpora.
- Downloads last month
- 6
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for UMCU/DutchMedicalTextDetector_v1_HEADONLY
Base model
DTAI-KULeuven/robbert-2023-dutch-base