Update README.md

README.md

@@ -44,7 +44,7 @@ This model is implemented as part of the KeyCARE library. Install first the keyc
 python -m pip install keycare
 ```
 
-You can then run the KeyCARE pipeline that uses the SetFit model:
+You can then run the KeyCARE pipeline that uses the Transformer model:
 
 ```python
 from keycare install RelExtractor.RelExtractor
@@ -55,12 +55,12 @@ relextractor = RelExtractor()
 source = ["cáncer", "enfermedad de pulmón", "mastectomía radical izquierda", "laparoscopia"]
 target = ["cáncer de mama", "enfermedad pulmonar", "mastectomía", "Streptococus pneumoniae"]
 relextractor(source, target)
-# You can also access the class storing the SetFit model
+# You can also access the class storing the Transformer model
 relator = relextractor.relation_method
 ```
 
 ## Training
-The model has been trained using the hirerarchical structure of [SNOMED-CT](https://www.snomed.org/) mapped to the medical terms present in [UMLS](https://www.nlm.nih.gov/research/umls/index.html).
+The used pre-trained model is SapBERT-from-roberta-base-biomedical-clinical-es from the BSC-NLP4BIA reserch group. The model has been trained using the hirerarchical structure of [SNOMED-CT](https://www.snomed.org/) mapped to the medical terms present in [UMLS](https://www.nlm.nih.gov/research/umls/index.html).
 
 ## Evaluation
 To be published