Update README.md

Updated README.md with some examples

README.md

@@ -1,10 +1,28 @@
 ---
 license: apache-2.0
+language: en
 tags:
 - generated_from_keras_callback
 model-index:
 - name: pull_request_comments_model
   results: []
+widget:
+- text: >-
+    Please add a detailed comment explaining what this config parameter means.
+  example_title: Code example
+- text: >-
+    Because if non-chief workers don’t restore the model from the checkpoint, training can‘t continue. 
+    For example, I am using tf.estimator.Estimator API and tf.distribute.CollectiveAllReduceStrategy for distributed training.
+    Firstly, I train for 1000 rounds(train_stpes=1000) and save the checkpoint, it works normally.
+    Then I set the train_steps to 2000, only the is_chief role can restore the model from the checkpoint without any error.
+  example_title: ML example
+- text: >-
+    Hi, Could you please review this PR when you have some time? Thank you very much!
+  example_title: Management example
+- text: >-
+    Hello Sorry for the delay, we are working on this PR internally. We will let you know if help require from your end. Thank you!
+  example_title: Other example
+pipeline_tag: text-classification
 ---
 
 # pull_request_comments_model
@@ -66,4 +84,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.1
 - TensorFlow 2.9.0
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2