Kaushik Ram Sadagopan
Kaushik Ram Sadagopan
Almost done with implementation, saving it as a draft since I'm yet to test it.
We have just released our notebook which serves as an exhaustive tutorial to learn how to use the entire suite of Seamless models. This was presented as part of the...
**What does this PR do? Please describe:** Adds support for wav2vec2 large models trained on Librispeech 960h (ls960) and LibriVox 60k (lv60k). Tested with this simple code snippet: lv60k ```...
**What does this PR do? Please describe:** A summary of the change or the issue that is fixed. Fixes #{issue number} **Does your PR introduce any breaking changes? If yes,...
**What does this PR do? Please describe:** Implements the mBart model and its text tokenizer. We are able to successfully load the base model. Testing the text tokenizer: ``` VocabularyInfo(size=65539,...
**What does this PR do? Please describe:** To run pretraining: ``` fairseq2 wav2vec2 train /checkpoint/$USER/wav2vec2_train ``` Run this code snippet for testing the dataloader: ``` import torch from fairseq2.datasets.speech import...