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 processor_config.json
Browse files- processor_config.json +1 -1
processor_config.json
CHANGED
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@@ -1,6 +1,6 @@
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{
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"audio_bos_token": "<|audio_out_bos|>",
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"audio_eos_token": "<|audio_eos|>",
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-
"audio_token": "<|
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"processor_class": "HiggsAudioProcessor"
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}
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{
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"audio_bos_token": "<|audio_out_bos|>",
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"audio_eos_token": "<|audio_eos|>",
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+
"audio_token": "<|AUDIO_OUT|>",
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"processor_class": "HiggsAudioProcessor"
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}
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