Instructions to use facebook/wav2vec2-xls-r-300m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-xls-r-300m with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-xls-r-300m") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-xls-r-300m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from facebook/wav2vec2-xls-r-300m: direct link, hf CLI and curl.
- Browser
- Download file 212 Bytes
-
https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://facebook/wav2vec2-xls-r-300m/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/facebook/wav2vec2-xls-r-300m/resolve/main/preprocessor_config.json
212 Bytes
| { | |
| "do_normalize": true, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |