Instructions to use 1Developer/cali-ast-wakeword with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1Developer/cali-ast-wakeword with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="1Developer/cali-ast-wakeword")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("1Developer/cali-ast-wakeword") model = AutoModelForAudioClassification.from_pretrained("1Developer/cali-ast-wakeword", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload feature extractor
Browse files- preprocessor_config.json +13 -0
preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "ASTFeatureExtractor",
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"feature_size": 1,
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"max_length": 128,
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"mean": -6.845978,
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"num_mel_bins": 128,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 16000,
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"std": 5.5654526
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}
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