Text2Speech model pushed to Hub as Text2Audio
Im trying to finish the Audio course and after trying to do the third exercise of fine-tuning SpeechT5 model, after pushing the model to Hub, the model is labeled as text-to-audio and thus isnt considered as a correct submission for the course…I’ve tried:kwargs = {     "dataset_tags": "facebook/voxpopuli",     "dataset": "Vox Populi - Lithuanian",     "model_name": "speecht5-lt",     "finetuned_from": checkpoint,     "tasks": "text_to_speech", }trainer.push_to_hub(**kwargs)and also justtrainer.push_to_hub(), but neither seems to work.
2023-12-27T22:30:04Z
I’m having the same issue, did you find a solution?
2023-12-28T11:05:52Z
I think it was something really dumb, like using “_” instead of “-” intasks…Here is a working kwargs dict that I ended up using successfully:kwargs = {“dataset_tags”: “mozilla-foundation/common_voice_13_0”,“finetuned_from”: checkpoint,“tasks”: “text-to-speech”,“tags”: “text-to-speech”,“language”: “pt”,}trainer.push_to_hub(**kwargs)Hope this helps!