Instructions to use hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
7eba5a1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:65d8c187c3cb1d9c7088669a71d469a38c13f349ee0aae00e9f43f31d50602a8
size 133604
|