Instructions to use arbml/wav2vec2-large-xlsr-dialect-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arbml/wav2vec2-large-xlsr-dialect-classification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("arbml/wav2vec2-large-xlsr-dialect-classification") model = AutoModel.from_pretrained("arbml/wav2vec2-large-xlsr-dialect-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 158 Bytes
0e08250 | 1 2 3 4 5 6 7 8 9 | {
"do_normalize": true,
"feature_size": 1,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000
}
|