Instructions to use 1Developer/cali-ast-wakeword_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1Developer/cali-ast-wakeword_v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="1Developer/cali-ast-wakeword_v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("1Developer/cali-ast-wakeword_v4") model = AutoModelForAudioClassification.from_pretrained("1Developer/cali-ast-wakeword_v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from 1Developer/cali-ast-wakeword_v4: direct link, hf CLI and curl.
- Browser
- Download file 308 Bytes
-
https://huggingface.co/1Developer/cali-ast-wakeword_v4/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://1Developer/cali-ast-wakeword_v4/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/1Developer/cali-ast-wakeword_v4/resolve/main/preprocessor_config.json
308 Bytes
| { | |
| "do_normalize": true, | |
| "feature_extractor_type": "ASTFeatureExtractor", | |
| "feature_size": 1, | |
| "max_length": 128, | |
| "mean": -6.845978, | |
| "num_mel_bins": 128, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000, | |
| "std": 5.5654526 | |
| } | |