Update README.md

README.md

@@ -19,7 +19,7 @@ CausalBERT (C-BERT) is a multi-task fine-tuned German BERT that extracts causal
   2. Relation classification (CAUSE, EFFECT, INTERDEPENDENCY)
 
 ## Usage
-Find the custom [library](https://github.com/norygano/causalbert). Once installed, run inference like so:
+Find the custom [library](https://github.com/norygami/causalbert). Once installed, run inference like so:
 ```python
 from transformers import AutoTokenizer
 from causalbert.infer import load_model, analyze_sentence_with_confidence
@@ -34,7 +34,7 @@ result = analyze_sentence_with_confidence(
 
 - **Base model**: `google-bert/bert-base-german-cased`  
 - **Epochs**: 3, **LR**: 2e-5, **Batch size**: 8  
-- See [train.py](https://github.com/norygano/causalbert/blob/main/causalbert/train.py) for details.
+- See [train.py](https://github.com/norygami/causalbert/blob/main/causalbert/train.py) for details.
 
 ## Limitations