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
File size: 207 Bytes
7904865 | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"bos_token_id": 1,
"do_sample": true,
"eos_token_id": 128009,
"pad_token_id": 128001,
"temperature": 0.3,
"top_p": 0.95,
"transformers_version": "4.56.0.dev0"
}
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