Release 1.0.0rc1
Pre-release
Pre-release
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.