Update README.md

README.md

@@ -318,10 +318,10 @@ pipeline_tag: zero-shot-classification
 
 This is [DeBERTa-v3-base](https://hf.co/microsoft/deberta-v3-base) fine-tuned with multi-task learning on 600 tasks of the [tasksource collection](https://github.com/sileod/tasksource/).
 This checkpoint has strong zero-shot validation performance on many tasks (e.g. 70% on WNLI), and can be used for:
-- Zero-shot entailment-based classification pipeline (similar to bart-mnli) [ZS].
+- Zero-shot entailment-based classification for arbitrary labels [ZS].
 - Natural language inference [NLI]
-- Hundreds of other tasks with tasksource-adapters [TA].
-- Further fine-tuning with a new task or tasksource task (classification, token classification or multiple-choice) [FT].
+- Hundreds of previous tasks with tasksource-adapters [TA].
+- Further fine-tuning on a new task or tasksource task (classification, token classification or multiple-choice) [FT].
 
 # [ZS] Zero-shot classification pipeline
 ```python