Instructions to use Lakoc/fe_mel_80_global_stats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakoc/fe_mel_80_global_stats with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lakoc/fe_mel_80_global_stats", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Lakoc/fe_mel_80_global_stats: direct link, hf CLI and curl.
- Browser
- Download file 1.89 kB
-
https://huggingface.co/Lakoc/fe_mel_80_global_stats/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Lakoc/fe_mel_80_global_stats/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Lakoc/fe_mel_80_global_stats/resolve/main/preprocessor_config.json
1.89 kB
| { | |
| "do_ceptral_normalize": true, | |
| "feature_extractor_name": "custom_feature_extractor", | |
| "feature_extractor_type": "CustomFeatureExtractor", | |
| "feature_size": 80, | |
| "global_means": [ | |
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| "global_stds": [ | |
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| ], | |
| "norm_type": "global", | |
| "normalize_means": true, | |
| "normalize_vars": true, | |
| "num_mel_bins": 80, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "samples_seen": 0, | |
| "sampling_rate": 16000 | |
| } | |