Instructions to use proseph/ctrlv-speechrecognition-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proseph/ctrlv-speechrecognition-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="proseph/ctrlv-speechrecognition-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("proseph/ctrlv-speechrecognition-model") model = AutoModelForCTC.from_pretrained("proseph/ctrlv-speechrecognition-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Test WER in TIMIT dataset
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- Wer: 0.189
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[Google Colab Notebook](https://colab.research.google.com/drive/1M9ZbqvoRqshEccIlpTQGsgptpiGVgauH)
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## Model description
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## Test WER in TIMIT dataset
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- Wer: 0.189
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[Google Colab Notebook](https://colab.research.google.com/drive/1M9ZbqvoRqshEccIlpTQGsgptpiGVgauH)
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## Model description
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