Instructions to use CWKSC/whisper-small-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CWKSC/whisper-small-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CWKSC/whisper-small-onnx")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CWKSC/whisper-small-onnx") model = AutoModelForSpeechSeq2Seq.from_pretrained("CWKSC/whisper-small-onnx") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json with huggingface_hub
Browse files- tokenizer.json +0 -0
tokenizer.json
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