Update README.md

README.md

@@ -318,9 +318,9 @@ 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), see [ZS]([ZS] Zero-shot classification pipeline).
-- Natural language inference, and many other tasks with tasksource-adapters, see [TA]([TA] Tasksource-adapters: 1 line access to hundreds of tasks).
-- Further fine-tuning with a new task (classification, token classification or multiple-choice) [FT]([FT] Tasknet: 3 lines fine-tuning).
+- Zero-shot entailment-based classification pipeline (similar to bart-mnli), see [ZS].
+- Natural language inference, and many other tasks with tasksource-adapters, see [TA].
+- Further fine-tuning with a new task or tasksource task (classification, token classification or multiple-choice) [FT].
 
 # [ZS] Zero-shot classification pipeline
 ```python