Instructions to use dkurt/wav2vec2-base-ft-keyword-spotting-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dkurt/wav2vec2-base-ft-keyword-spotting-int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="dkurt/wav2vec2-base-ft-keyword-spotting-int8")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("dkurt/wav2vec2-base-ft-keyword-spotting-int8") model = AutoModelForAudioClassification.from_pretrained("dkurt/wav2vec2-base-ft-keyword-spotting-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
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