Instructions to use aTrain-core/faster-whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aTrain-core/faster-whisper-tiny with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aTrain-core/faster-whisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95d706516af777831fff6b2c35837dfb450afca078db361910d44a435b24dc2c
- Size of remote file:
- 75.5 MB
- SHA256:
- dcb76c6586fc06cbdac6dd21f14cfd129cc4cdd9dce19bf4ffa62e59cbe6e6d1
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