Instructions to use microsoft/unispeech-sat-base-plus-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unispeech-sat-base-plus-sd with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("microsoft/unispeech-sat-base-plus-sd") model = AutoModelForAudioFrameClassification.from_pretrained("microsoft/unispeech-sat-base-plus-sd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from microsoft/unispeech-sat-base-plus-sd: direct link, hf CLI and curl.
- Browser
- Download file 213 Bytes
-
https://huggingface.co/microsoft/unispeech-sat-base-plus-sd/resolve/refs%2Fpr%2F1/preprocessor_config.json
- Command line
-
hf download hf://microsoft/unispeech-sat-base-plus-sd@refs/pr/1/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/microsoft/unispeech-sat-base-plus-sd/resolve/refs%2Fpr%2F1/preprocessor_config.json
213 Bytes
| { | |
| "do_normalize": false, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |