Update README.md

README.md

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-We used GPT4.1-nano to classify generic texts from OSCAR as non-medical/medical. 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.
+We used GPT4.1-nano to classify generic texts from OSCAR as non-medical/medical using [PubScience](https://github.com/bramiozo/PubScience/tree/main/pubscience/label). 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.