Instructions to use ntnu-smil/whisper-large-v3-turbo-ami-1-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntnu-smil/whisper-large-v3-turbo-ami-1-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ntnu-smil/whisper-large-v3-turbo-ami-1-merged")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ntnu-smil/whisper-large-v3-turbo-ami-1-merged") model = AutoModelForSpeechSeq2Seq.from_pretrained("ntnu-smil/whisper-large-v3-turbo-ami-1-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K