Update README.md

README.md

@@ -79,9 +79,7 @@ pipeline_tag: zero-shot-classification
 # Model Card for mDeBERTa-v3-base-tasksource-nli
 
 Multilingual [mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) with 30k steps multi-task training on [mtasksource](https://github.com/sileod/tasksource/blob/main/src/tasksource/mtasks.py)
-
 This model can be used as a stable starting-point for further fine-tuning, or directly in zero-shot NLI model or a zero-shot pipeline.
-
 In addition, you can use the provided [adapters](https://huggingface.co/sileod/mdeberta-v3-base-tasksource-adapters) to directly load a model for hundreds of tasks. 
 ```python
 !pip install tasknet, tasksource -q
@@ -92,9 +90,10 @@ pipe=tn.load_pipeline(
 pipe(['si','como esta?'])
 ```
 
+For more details, see [deberta-v3-base-tasksource-nli](https://huggingface.co/sileod/deberta-v3-base-tasksource-nli) and replace tasksource by mtasksource.
+
 # Software
 https://github.com/sileod/tasksource/
-
 https://github.com/sileod/tasknet/
 
 # Contact and citation