Instructions to use MahmoodAnaam/MSP-Audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MahmoodAnaam/MSP-Audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MahmoodAnaam/MSP-Audio", trust_remote_code=True)# Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("MahmoodAnaam/MSP-Audio", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 559 Bytes
8700199 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"auto_map": {
"AutoProcessor": "processing_msp_audio.MSPAudioProcessor"
},
"feature_extractor": {
"auto_map": {
"AutoFeatureExtractor": "feature_extraction_msp_audio.MSPAudioFeatureExtractor",
"AutoProcessor": "processing_msp_audio.MSPAudioProcessor"
},
"do_normalize": true,
"feature_extractor_type": "MSPAudioFeatureExtractor",
"feature_size": 1,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": false,
"sampling_rate": 16000
},
"processor_class": "MSPAudioProcessor"
}
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