 Wav2Vec2-mBART-50-Ru  Wav2Vec2-mBART-50-Ru is a speech-sequence-to-text-sequence model, which can convert an input audio with Russian speech into a text with punctuation, capitalization and so on.  Wav2Vec2-mBART-50-Ru is the [SpeechEncoderDecoderModel](https://huggingface.co/docs/transformers/model_doc/speech-encoder-decoder), which was initialized with [Wav2Vec2-Large-Ru-Golos](https://huggingface.co/bond005/wav2vec2-large-ru-golos) as the encoder and [mBART-large-50](https://huggingface.co/facebook/mbart-large-50) as the decoder. After its initialization the model was fine-tuned using the training parts of several annotated speech corpora:   - [the 10 hours crowd subset of SberDevices Golos](https://huggingface.co/datasets/bond005/sberdevices_golos_10h_crowd) - [the 100 hours farfield subset of SberDevices Golos](https://huggingface.co/datasets/bond005/sberdevices_golos_100h_farfield) - [the Russian subset of Common Voice 6.0](https://huggingface.co/datasets/common_voice) - [Sova RuDevices](https://huggingface.co/datasets/bond005/sova_rudevices) - 15% part of the training subset of [Russian Librispeech](https://huggingface.co/datasets/bond005/rulibrispeech)  CommonVoice 6.0 contains "rich" text annotations with punctuation and capitalization, but other speech corpora includes plain texts only. Therefore, text annotations of these corpora were riched automatically using the [Silero text enhancement model](https://github.com/snakers4/silero-models