Instructions to use Yugratna/whisper-tiny-en-seattle-finetuned_checkpoint_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yugratna/whisper-tiny-en-seattle-finetuned_checkpoint_1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Yugratna/whisper-tiny-en-seattle-finetuned_checkpoint_1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1067b902a29d601073e92b6d3e9bd61a5fd0ce0be871d89c1d474c9cd21da124
- Size of remote file:
- 151 MB
- SHA256:
- 613301d1d1b09032e44dc7c10bbac215537a9637e59d12330761fe2d2de3199f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.