Merge pull request #471 from BrikerMan/v2-dev

Release 2.0.2

README.md

@@ -71,21 +71,29 @@ Kashgari is a simple and powerful NLP Transfer learning framework, build a state
 
 Welcome to add performance report.
 
-| Task                       | Language | Dataset                     | Score   |
-| -------------------------- | -------- | --------------------------- | ------- |
-| [Named Entity Recognition] | Chinese  | [People's Daily Ner Corpus] | 95.57   |
-| [Text Classification]      | Chinese  | [SMP2018ECDTCorpus]         | 94.57   |
+| Task                       | Language | Dataset                     | Score |
+| -------------------------- | -------- | --------------------------- | ----- |
+| [Named Entity Recognition] | Chinese  | [People's Daily Ner Corpus] | 95.57 |
+| [Text Classification]      | Chinese  | [SMP2018ECDTCorpus]         | 94.57 |
 
 ## Installation
 
 The project is based on Python 3.6+, because it is 2019 and type hinting is cool.
 
-| Backend          | pypi version                           | desc                  |
+| Backend          | kashgari version                       | desc                  |
 | ---------------- | -------------------------------------- | --------------------- |
-| TensorFlow 2.1+  | `pip install 'kashgari>=2.0.0'`        | TF2.10+ with tf.keras |
+| TensorFlow 2.2+  | `pip install 'kashgari>=2.0.2'`        | TF2.10+ with tf.keras |
 | TensorFlow 1.14+ | `pip install 'kashgari>=1.0.0,<2.0.0'` | TF1.14+ with tf.keras |
 | Keras            | `pip install 'kashgari<1.0.0'`         | keras version         |
 
+You also need to install `tensorflow_addons` with TensorFlow.
+
+| TensorFlow Version       | tensorflow_addons version               |
+| ------------------------ | --------------------------------------- |
+| TensorFlow 2.1           | `pip install tensorflow_addons==0.9.1`  |
+| TensorFlow 2.2           | `pip install tensorflow_addons==0.11.2` |
+| TensorFlow 2.3, 2.4, 2.5 | `pip install tensorflow_addons==0.13.0` |
+
 ## Tutorials
 
 Here is a set of quick tutorials to get you started with the library:

docs/about/release-notes.md

@@ -17,8 +17,13 @@ pip show kashgari
 
 ## Current Release
 
-### [2.0.2] - 2020.11.18
+### [2.0.2] - 2021.07.04
+
 - 🐛 Fixed Custom Model load issue.
+- 🐛 Fixed model save issue on Windows.
+- 🐛 Fixed multi-label model load issue.
+- 🐛 Fixed CRF model load issue.
+- 🐛 Fixed TensorFlow 2.3+ Support.
 ### [2.0.1] - 2020.10.28
 
 - ✨ Add `convert_to_saved_model` API for tf-serving use case.