Instructions to use facebook/wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from facebook/wav2vec2-base: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
-
https://huggingface.co/facebook/wav2vec2-base/resolve/refs%2Fpr%2F5/preprocessor_config.json
- Command line
-
hf download hf://facebook/wav2vec2-base@refs/pr/5/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/facebook/wav2vec2-base/resolve/refs%2Fpr%2F5/preprocessor_config.json
159 Bytes
| { | |
| "do_normalize": true, | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| } | |