huggingface/transformers: Marian

Marian (@sshleifer) A new model architecture, MarianMTModel with 1,008+ pretrained weights is available for machine translation in PyTorch. The corresponding MarianTokenizer uses a prepare_translation_batch method to prepare model inputs. All pretrained model names use the following format: Helsinki-NLP/opus-mt-{src}-{tgt} See docs for information on pretrained model discovery and naming, or find your language here AlbertForPreTraining (@jarednielsen) A new model architecture has been added: AlbertForPreTraining in both PyTorch and TensorFlow TF 2.2 compatibility (@mfuntowicz, @jplu) Changes have been made to both the TensorFlow scripts and our internals so that we are compatible with TensorFlow 2.2 TFTrainer now supports new tasks Multiple choice has been added to the TFTrainer (@ViktorAlm) Question Answering has been added to the TFTrainer (@jplu) Fixes and improvements Fixed a bug with the tf generation pipeline (@patrickvonplaten) Fixed the XLA spawn (@julien-c) The sentiment analysis pipeline tokenizer was cased while the model was uncased (@mfuntowicz) Albert was added to the conversion CLI (@fgaim) CamemBERT's token ID generation from tokenizer were removed like RoBERTa, as the model does not use them (@LysandreJik) Additional migration documentation was added (@guoquan) GPT-2 can now be exported to ONNX (@tianleiwu) Simplify cache vars and allow for TRANSFORMERS_CACHE env (@BramVanroy) Remove hard-coded pad token id in distilbert and albert (@monologg) BART tests were fixed on GPU (@julien-c) Better wandb integration (@vanpelt, @borisdayma, @julien-c