Instructions to use mispeech/r1-aqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mispeech/r1-aqa with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("mispeech/r1-aqa") model = AutoModelForSeq2SeqLM.from_pretrained("mispeech/r1-aqa") - Notebooks
- Google Colab
- Kaggle
infer error
#4
by shanhaidexiamo - opened
Could you share more code examples?
Could you share more code examples?
I fully utilized the demo you provided in huggingface, and after testing, it was found that audio=[waveform. squeeze (0). numpy()] is necessary instead of audio=[waveform. numpy()]
Yes! Thanks a lot. I also found this bug and have updated inference code. Thanks again, it's our mistake.
frankenliu changed discussion status to closed
