Instructions to use werent4/gliclass-audio-no-audioset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use werent4/gliclass-audio-no-audioset with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("werent4/gliclass-audio-no-audioset", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aca1cf40e053ea20b81e628b9b658cb1188dd3ddc760239eaca8d49e58dda59
- Size of remote file:
- 1.13 GB
- SHA256:
- 62e6de4685120556ba3b19a1eca9a70c225a0c0ca569a82a07cf94524c2eb83a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.