Instructions to use deepdml/whisper-tiny-ta-mix-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdml/whisper-tiny-ta-mix-norm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deepdml/whisper-tiny-ta-mix-norm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 108c3a82ce88583d26e0c8e64679e3592e89df4f32e8b1ebd5777b42b3e207d8
- Size of remote file:
- 5.5 kB
- SHA256:
- bfe88208ffb3aca0151174c2a6a4c61e8c38a7fc703ef3bbf20c476d0e07aeee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.