Audio-to-Audio
Transformers
Safetensors
English
higgs_audio_v2_tokenizer
feature-extraction
audio
speech
tokenizer
codec
higgs
Instructions to use BobJames/open-higgs-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BobJames/open-higgs-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("BobJames/open-higgs-tokenizer") model = AutoModel.from_pretrained("BobJames/open-higgs-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 206 Bytes
0cbb551 | 1 2 3 4 5 6 7 8 9 10 | {
"feature_extractor_type": "DacFeatureExtractor",
"feature_size": 1,
"hop_length": 960,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 24000
}
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