Update README.md

README.md

@@ -24,7 +24,7 @@ tags:
 ## Model Description
 
 This model consists of a fine-tuned version of BgGPT-7B-Instruct-v0.2 for a propaganda detection task. It is effectively a binary classifier, determining wether propaganda is present in the output string.
-This model was created by [`Identrics`](https://identrics.ai/), in the scope of the WASPer project.The detailed taxonomy of the full pipeline could be found [here](https://github.com/Identrics/wasper/).
+This model was created by [`Identrics`](https://identrics.ai/), in the scope of the WASPer project. The detailed taxonomy of the full pipeline could be found [here](https://github.com/Identrics/wasper/).
 
 
 ## Uses
@@ -42,8 +42,8 @@ Then the model can be downloaded and used for inference:
 ```py
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("identrics/EN_propaganda_detector", num_labels=2)
-tokenizer = AutoTokenizer.from_pretrained("identrics/BG_propaganda_detector")
+model = AutoModelForSequenceClassification.from_pretrained("identrics/wasper_propaganda_detection_bg", num_labels=2)
+tokenizer = AutoTokenizer.from_pretrained("identrics/wasper_propaganda_detection_bg")
 
 tokens = tokenizer("Газа евтин, американското ядрено гориво евтино, пълно с фотоволтаици а пък тока с 30% нагоре. Защо ?", return_tensors="pt")
 output = model(**tokens)