Instructions to use fine2006/whisper-small-finetuned-multilingual-on-kaggle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fine2006/whisper-small-finetuned-multilingual-on-kaggle with PEFT:
Task type is invalid.
- Transformers
How to use fine2006/whisper-small-finetuned-multilingual-on-kaggle with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fine2006/whisper-small-finetuned-multilingual-on-kaggle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c271afeb5c651d84514340300dfb011613f06b5a8bac8b94c11362664fdaf112
- Size of remote file:
- 1.19 MB
- SHA256:
- bd3a831b6b709ec2fb518474f10cadd319e8c7a858bd6bc589d4c8228db06e2f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.