Update README.md

the first parameter of get_tasks is `languages`, and the previous code would throw the following error:

ValueError: Invalid language code: T2Reranking, you can find valid ISO 639-3 codes in /share/anaconda3/envs/T2Ranking/lib/python3.12/site-packages/mteb/iso_639_3_to_language.json

README.md

@@ -104,7 +104,7 @@ You can evaluate an embedding model on this dataset using the following code:
 ```python
 import mteb
 
-task = mteb.get_tasks(["T2Reranking"])
+task = mteb.get_tasks(tasks=["T2Reranking"])
 evaluator = mteb.MTEB(task)
 
 model = mteb.get_model(YOUR_MODEL)