Update BERT readme with new checkpoints fully ready.

PiperOrigin-RevId: 282798626

official/nlp/bert/README.md

@@ -32,42 +32,38 @@ are going to release new pre-trained checkpoints soon.
 We provide checkpoints that are converted from [google-research/bert](https://github.com/google-research/bert),
 in order to keep consistent with BERT paper.
 
-The stable model checkpoints work with [v2.0 release](https://github.com/tensorflow/models/releases/tag/v2.0).
-
-**Note: these checkpoints are not compatible with the current master
-[run_classifier.py](run_classifier.py) example.**
+**Note: We have switched BERT implementation
+to use Keras functional-style networks in [nlp/modeling](../modeling).
+The new checkpoints are:**
 
-*   **[`BERT-Large, Uncased (Whole Word Masking)`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/wwm_uncased_L-24_H-1024_A-16.tar.gz)**:
+*   **[`BERT-Large, Uncased (Whole Word Masking)`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/wwm_uncased_L-24_H-1024_A-16.tar.gz)**:
     24-layer, 1024-hidden, 16-heads, 340M parameters
-*   **[`BERT-Large, Cased (Whole Word Masking)`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/wwm_cased_L-24_H-1024_A-16.tar.gz)**:
+*   **[`BERT-Large, Cased (Whole Word Masking)`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/wwm_cased_L-24_H-1024_A-16.tar.gz)**:
     24-layer, 1024-hidden, 16-heads, 340M parameters
-*   **[`BERT-Base, Uncased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/uncased_L-12_H-768_A-12.tar.gz)**:
+*   **[`BERT-Base, Uncased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/uncased_L-12_H-768_A-12.tar.gz)**:
     12-layer, 768-hidden, 12-heads, 110M parameters
-*   **[`BERT-Large, Uncased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/uncased_L-24_H-1024_A-16.tar.gz)**:
+*   **[`BERT-Large, Uncased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/uncased_L-24_H-1024_A-16.tar.gz)**:
     24-layer, 1024-hidden, 16-heads, 340M parameters
-*   **[`BERT-Base, Cased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/cased_L-12_H-768_A-12.tar.gz)**:
+*   **[`BERT-Base, Cased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/cased_L-12_H-768_A-12.tar.gz)**:
     12-layer, 768-hidden, 12-heads , 110M parameters
-*   **[`BERT-Large, Cased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/cased_L-24_H-1024_A-16.tar.gz)**:
+*   **[`BERT-Large, Cased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/cased_L-24_H-1024_A-16.tar.gz)**:
     24-layer, 1024-hidden, 16-heads, 340M parameters
 
-**Note: We are in the middle of a transition stage to switch BERT implementation
-to use Keras functional-style networks in [nlp/modeling](../modeling).
-The checkpoint above will be deleted once transition is done.**
+Here are the stable model checkpoints work with [v2.0 release](https://github.com/tensorflow/models/releases/tag/v2.0).
 
-The new checkpoints work with [run_classifier.py](run_classifier.py) example
-are:
+**Note: these checkpoints are not compatible with the current master examples.**
 
-*   **[`BERT-Large, Uncased (Whole Word Masking)`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/wwm_uncased_L-24_H-1024_A-16.tar.gz)**:
+*   **[`BERT-Large, Uncased (Whole Word Masking)`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/wwm_uncased_L-24_H-1024_A-16.tar.gz)**:
     24-layer, 1024-hidden, 16-heads, 340M parameters
-*   **[`BERT-Large, Cased (Whole Word Masking)`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/wwm_cased_L-24_H-1024_A-16.tar.gz)**:
+*   **[`BERT-Large, Cased (Whole Word Masking)`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/wwm_cased_L-24_H-1024_A-16.tar.gz)**:
     24-layer, 1024-hidden, 16-heads, 340M parameters
-*   **[`BERT-Base, Uncased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/uncased_L-12_H-768_A-12.tar.gz)**:
+*   **[`BERT-Base, Uncased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/uncased_L-12_H-768_A-12.tar.gz)**:
     12-layer, 768-hidden, 12-heads, 110M parameters
-*   **[`BERT-Large, Uncased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/uncased_L-24_H-1024_A-16.tar.gz)**:
+*   **[`BERT-Large, Uncased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/uncased_L-24_H-1024_A-16.tar.gz)**:
     24-layer, 1024-hidden, 16-heads, 340M parameters
-*   **[`BERT-Base, Cased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/cased_L-12_H-768_A-12.tar.gz)**:
+*   **[`BERT-Base, Cased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/cased_L-12_H-768_A-12.tar.gz)**:
     12-layer, 768-hidden, 12-heads , 110M parameters
-*   **[`BERT-Large, Cased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/keras_bert/cased_L-24_H-1024_A-16.tar.gz)**:
+*   **[`BERT-Large, Cased`](https://storage.googleapis.com/cloud-tpu-checkpoints/bert/tf_20/cased_L-24_H-1024_A-16.tar.gz)**:
     24-layer, 1024-hidden, 16-heads, 340M parameters
 
 We recommend to host checkpoints on Google Cloud storage buckets when you use