Instructions to use Z3K3/jubbaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Z3K3/jubbaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Z3K3/jubbaModel")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("Z3K3/jubbaModel") model = AutoModelForTextToWaveform.from_pretrained("Z3K3/jubbaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 224 Bytes
537f0fc | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"bos_token_id": 2048,
"decoder_start_token_id": 2048,
"do_sample": true,
"guidance_scale": 3.0,
"max_length": 1500,
"pad_token_id": 2048,
"transformers_version": "4.31.0.dev0"
}
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