Instructions to use therealcyberlord/csm-1b-elise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use therealcyberlord/csm-1b-elise with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="therealcyberlord/csm-1b-elise")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("therealcyberlord/csm-1b-elise", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use therealcyberlord/csm-1b-elise 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 therealcyberlord/csm-1b-elise 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 therealcyberlord/csm-1b-elise to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for therealcyberlord/csm-1b-elise to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="therealcyberlord/csm-1b-elise", max_seq_length=2048, )
- Xet hash:
- eaedc48c77f09215281330323540d692ace7c67ea64805e9458181c202569a4b
- Size of remote file:
- 58.1 MB
- SHA256:
- e84173326c644e3067ff61204ea15675aff0a38ae922ffd97ff4a82dc097d146
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