How to use CWKSC/whisper-small-onnx-quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CWKSC/whisper-small-onnx-quantized")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CWKSC/whisper-small-onnx-quantized") model = AutoModelForSpeechSeq2Seq.from_pretrained("CWKSC/whisper-small-onnx-quantized", device_map="auto")
https://huggingface.co/CWKSC/whisper-small-onnx-quantized/resolve/main/tokenizer.json
hf download hf://CWKSC/whisper-small-onnx-quantized/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/CWKSC/whisper-small-onnx-quantized/resolve/main/tokenizer.json
