Note: DeepPavlov 1.0.0 is not released yet!

DeepPavlov 1.0.0 Release Notes

• Added Python 3.8 and 3.9 support and library requirements are optimized in #1525 and #1578.
• Removed all TensorFlow components and default trainer replaced with torch_trainer in #1574.
• Added Russian SuperGLUE models and submission generation in #1577.
• Added NER case-agnostig config in #1570.
• Added external metrics support in #1546.
• Nested config overwriting mechanism in #1561.
• Refactoring of the training logging in #1572.
• KBQA models migrated to PyTorch in #1569.
• Classification models migrated to PyTorch in #1565.
• NER models migrated to PyTorch in #1545.
• Context question answering models migrated to PyTorch in #1539.
• Entity Linking migrated to PyTorch and reduced RAM and VRAM consumption in #1516.
• Added config deprecation mechanism in #1547.
• torch_bert_ranker now uses the same Hugging Face Transformers version as the rest of the components in #1532.
• Models and components removed in #1523, #1526, #1534, #1533, #1537, #1544, #1560, #1563, #1564, #1573.
• Fixed a problem with pre-trained BERT models by DeepPavlov in #1502. Resolves #1275 and #1390.
• Fixed en_core_web_sm load error during tests in #1524.
• Removed Telegram, MSBot Framework, Yandex Alice and Amazon Alexa connectors in #1548.
• Documentation updated in #1517, #1529.