Instructions to use blackhole33/wev2vec-commonVoice_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use blackhole33/wev2vec-commonVoice_v1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("blackhole33/wev2vec-commonVoice_v1", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from blackhole33/wev2vec-commonVoice_v1: direct link, hf CLI and curl.
- Browser
- Download file 231 Bytes
-
https://huggingface.co/blackhole33/wev2vec-commonVoice_v1/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://blackhole33/wev2vec-commonVoice_v1/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/blackhole33/wev2vec-commonVoice_v1/resolve/main/preprocessor_config.json
231 Bytes
| { | |
| "feature_extractor_type": "SeamlessM4TFeatureExtractor", | |
| "feature_size": 80, | |
| "num_mel_bins": 80, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "stride": 2 | |
| } | |