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
| { | |
| "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" | |
| } | |