new: - New vision models: added MobileNetV3-Small and EfficientNet. Thanks to ilos-vigil.
changed - `core.Learner.plot` now supports plotting of any value that exists in the training `History` object (e.g., `mae` if previously specified as metric). Thanks to ilos-vigil. - added `raw_confidence` parameter to `QA.ask` method to return raw confidence scores. Thanks to ilos-vigil.
fixed: - pin to `transformers==4.10.3` due to Issue 398 - pin to `syntok==1.3.3` due to bug with `syntok==1.4.1` causing paragraph tokenization in `qa` module to break - properly suppress TF/CUDA warnings by default - ensure document fed to `keras_bert` tokenizer to avoid [this issue](https://stackoverflow.com/questions/67360987/bert-model-bug-encountered-during-training/67375675#67375675)
0.28.3
new: - speech transcription support
changed - N/A
fixed: - N/A
0.28.2
new: - N/A
changed - minor fix to installation due to pypi
fixed: - N/A
0.28.1
New: - N/A
Changed - added `extra_requirements` to `setup.py` - changed imports for summarization, translation, qa, and zsl in notebooks and tests
Fixed: - N/A
0.28.0
New: - `text.AnswerExtractor` is a universal information extractor powered by a Question-Answering module and capable of extracting user-specfied information from texts. - `text.TextExtractor` is a text extraction pipeline (e.g., convert PDFs to plain text)
Changed - changed transformers pin to `transformers>=4.0.0,<=4.10.3`
Fixed: - N/A
0.27.3
New: - N/A
Changed -N/A
Fixed: - `SimpleQA` now can load PyTorch question-answering checkpoints - change API call to support newest `causalnlp`