Instructions to use tingting/sesame_csm_1b_MrDragonFox_Elise_e17_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tingting/sesame_csm_1b_MrDragonFox_Elise_e17_lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="tingting/sesame_csm_1b_MrDragonFox_Elise_e17_lora")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("tingting/sesame_csm_1b_MrDragonFox_Elise_e17_lora") model = AutoModelForTextToWaveform.from_pretrained("tingting/sesame_csm_1b_MrDragonFox_Elise_e17_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 271 Bytes
72d0132 | 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": "right",
"padding_value": 0.0,
"processor_class": "CsmProcessor",
"return_attention_mask": true,
"sampling_rate": 24000
}
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