Instructions to use mohammadsp99/Whisper-small-FullFinetuning-CV-train-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use mohammadsp99/Whisper-small-FullFinetuning-CV-train-test with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("mohammadsp99/Whisper-small-FullFinetuning-CV-train-test", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 339 Bytes
d73fb97 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"chunk_length": 30,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 80,
"hop_length": 160,
"n_fft": 400,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "WhisperProcessor",
"return_attention_mask": false,
"sampling_rate": 16000
}
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