Instructions to use avasaz/avasaz-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avasaz/avasaz-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="avasaz/avasaz-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("avasaz/avasaz-large") model = AutoModelForTextToWaveform.from_pretrained("avasaz/avasaz-large") - Notebooks
- Google Colab
- Kaggle
File size: 275 Bytes
cb7e48d | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"chunk_length_s": null,
"feature_extractor_type": "EncodecFeatureExtractor",
"feature_size": 1,
"overlap": null,
"padding_side": "left",
"padding_value": 0.0,
"processor_class": "MusicgenProcessor",
"return_attention_mask": true,
"sampling_rate": 32000
}
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