Instructions to use fydhfzh/wav2vec2-custom-processor-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fydhfzh/wav2vec2-custom-processor-asr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fydhfzh/wav2vec2-custom-processor-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 267 Bytes
42a1df1 | 1 2 3 4 5 6 7 8 9 10 11 | {
"do_normalize": true,
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"feature_size": 1,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "Wav2Vec2Processor",
"return_attention_mask": false,
"sampling_rate": 16000
}
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