Instructions to use fav-kky/wav2vec2-base-cs-de-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fav-kky/wav2vec2-base-cs-de-100k with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("fav-kky/wav2vec2-base-cs-de-100k") model = AutoModelForPreTraining.from_pretrained("fav-kky/wav2vec2-base-cs-de-100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 158 Bytes
249b48c | 1 2 3 4 5 6 7 8 9 | {
"do_normalize": true,
"feature_dim": 1,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": false,
"sampling_rate": 16000
}
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