Update README.md

README.md

@@ -8,6 +8,7 @@ thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
 license: mit
 widget:
 - text: "[CLS] I love you. [SEP] I like you. [SEP]"
+pipeline_tag: zero-shot-classification
 ---
 
 ## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
@@ -40,9 +41,7 @@ We present the dev results on SQuAD 1.1/2.0 and several GLUE benchmark tasks.
 ```bash  
 cd transformers/examples/text-classification/
 export TASK_NAME=mrpc
-python -m torch.distributed.launch --nproc_per_node=8 run_glue.py   --model_name_or_path microsoft/deberta-v2-xxlarge   \\
---task_name $TASK_NAME   --do_train   --do_eval   --max_seq_length 128   --per_device_train_batch_size 4   \\
---learning_rate 3e-6   --num_train_epochs 3   --output_dir /tmp/$TASK_NAME/ --overwrite_output_dir --sharded_ddp --fp16
+python -m torch.distributed.launch --nproc_per_node=8 run_glue.py   --model_name_or_path microsoft/deberta-v2-xxlarge   \\\n--task_name $TASK_NAME   --do_train   --do_eval   --max_seq_length 128   --per_device_train_batch_size 4   \\\n--learning_rate 3e-6   --num_train_epochs 3   --output_dir /tmp/$TASK_NAME/ --overwrite_output_dir --sharded_ddp --fp16
 ```
 
 ### Citation