Instructions to use eustlb/higgs-v2-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/higgs-v2-archive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="eustlb/higgs-v2-archive")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("eustlb/higgs-v2-archive") model = AutoModelForTextToWaveform.from_pretrained("eustlb/higgs-v2-archive") - Notebooks
- Google Colab
- Kaggle
Update audio_tokenizer_config.json
Browse files
audio_tokenizer_config.json
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{
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"audio_tokenizer_class": "
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"audio_tokenizer_name_or_path": "eustlb/higgs-audio-v2-tokenizer"
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}
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{
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"audio_tokenizer_class": "HiggsAudioV2TokenizerModel",
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"audio_tokenizer_name_or_path": "eustlb/higgs-audio-v2-tokenizer"
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}
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