Instructions to use fav-kky/wav2vec2-base-cs-50k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fav-kky/wav2vec2-base-cs-50k with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("fav-kky/wav2vec2-base-cs-50k") model = AutoModelForPreTraining.from_pretrained("fav-kky/wav2vec2-base-cs-50k") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "feature_dim": 1, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| } | |