Instructions to use Benson/orpheusfinetunetts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benson/orpheusfinetunetts with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Benson/orpheusfinetunetts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Benson/orpheusfinetunetts 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 Benson/orpheusfinetunetts 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 Benson/orpheusfinetunetts to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Benson/orpheusfinetunetts to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Benson/orpheusfinetunetts", max_seq_length=2048, )
- Xet hash:
- 636cc0ff0a50fc1abfbe6dfa29904862513292efc225f8fa0c41a6972390f6d7
- Size of remote file:
- 22.9 MB
- SHA256:
- 629b9b72bda010f5dd90c4b442e848e36d2fabdd129287ea7c2f095a4cd88a34
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