Instructions to use Library-Mutsumi/whisper-base-ft-common-language-id-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Library-Mutsumi/whisper-base-ft-common-language-id-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Library-Mutsumi/whisper-base-ft-common-language-id-onnx")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Library-Mutsumi/whisper-base-ft-common-language-id-onnx") model = AutoModelForAudioClassification.from_pretrained("Library-Mutsumi/whisper-base-ft-common-language-id-onnx") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!