Instructions to use ntnu-smil/whisper-large-v3-turbo-ami-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ntnu-smil/whisper-large-v3-turbo-ami-1 with PEFT:
Task type is invalid.
- Transformers
How to use ntnu-smil/whisper-large-v3-turbo-ami-1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ntnu-smil/whisper-large-v3-turbo-ami-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fa3ddf5a6ec13d1a178660e677fc9adec1e7bb931c9df9f1393511523b2a540
- Size of remote file:
- 1.47 kB
- SHA256:
- 98a3e0b4e0e814decf7940dd898b1c2fef0e6765c17fe6a6c1d755646e51baf5
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