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
| { | |
| "attn_implementation": "sdpa", | |
| "bos_token_id": 128000, | |
| "depth_decoder_do_sample": true, | |
| "depth_decoder_temperature": 0.9, | |
| "do_sample": true, | |
| "max_length": 2048, | |
| "max_new_tokens": 125, | |
| "pad_token_id": 128256, | |
| "temperature": 0.9, | |
| "transformers_version": "4.52.0.dev0" | |
| } | |