Instructions to use tingting/sesame_csm_1b_MrDragonFox_Elise_e9_16bit 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_e9_16bit 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_e9_16bit")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("tingting/sesame_csm_1b_MrDragonFox_Elise_e9_16bit") model = AutoModelForTextToWaveform.from_pretrained("tingting/sesame_csm_1b_MrDragonFox_Elise_e9_16bit") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use tingting/sesame_csm_1b_MrDragonFox_Elise_e9_16bit with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tingting/sesame_csm_1b_MrDragonFox_Elise_e9_16bit to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tingting/sesame_csm_1b_MrDragonFox_Elise_e9_16bit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tingting/sesame_csm_1b_MrDragonFox_Elise_e9_16bit to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="tingting/sesame_csm_1b_MrDragonFox_Elise_e9_16bit", max_seq_length=2048, )
- Xet hash:
- 89e35a3f7c1ffa5f747336d263df8aeb795ae98a784c7e6a39aeb356ae03a0dd
- Size of remote file:
- 4.15 GB
- SHA256:
- d2f4558e21e734a13967f667e69767507e93bca1b94604ab5a8c6df1f387c6eb
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