Instructions to use tingting/sesame_csm_1b_MrDragonFox_Elise_e20_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_e20_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_e20_lora")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("tingting/sesame_csm_1b_MrDragonFox_Elise_e20_lora") model = AutoModelForTextToWaveform.from_pretrained("tingting/sesame_csm_1b_MrDragonFox_Elise_e20_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
(Trained with Unsloth)
Browse files- model.safetensors +3 -0
model.safetensors
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size 4153376052
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