Create README.md

README.md

@@ -8,7 +8,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: yujiepan/bert-base-uncased-sst2-int8-unstructured80
+- name: yujiepan/bert-base-uncased-sst2-int8-unstructured80-17epoch
   results:
   - task:
       name: Text Classification
@@ -23,7 +23,6 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.91284
-pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -42,7 +41,8 @@ It achieves the following results on the evaluation set:
 ```
 conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia
 pip install optimum[openvino,nncf]==1.7.0
-# TODO
+cd examples/openvino/text-classification/
+pip install -r requirements.txt
 pip install wandb # optional
 ```