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:
- 2daae509414cfcb2a80f85fe851963cf8e248ae80024a76624077196d1053800
- Size of remote file:
- 6.03 kB
- SHA256:
- ad0d5aea0892ae0bef445aa6511199f928db21142da237d54827bf8b807a616f
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