Instructions to use JunWorks/QuantizeAttempt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunWorks/QuantizeAttempt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JunWorks/QuantizeAttempt")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JunWorks/QuantizeAttempt") model = AutoModelForSpeechSeq2Seq.from_pretrained("JunWorks/QuantizeAttempt") - Notebooks
- Google Colab
- Kaggle
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README.md
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Quantized model of JunWorks/whisper-base-zhTW
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Negligible degradation
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CER 16.63 -> 16.67%
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Quantized model of JunWorks/whisper-base-zhTW <br>
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Negligible degradation
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CER 16.63 -> 16.67%
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