Instructions to use rashid0784/orpheus-luganda-dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rashid0784/orpheus-luganda-dialect with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rashid0784/orpheus-luganda-dialect", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use rashid0784/orpheus-luganda-dialect 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 rashid0784/orpheus-luganda-dialect 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 rashid0784/orpheus-luganda-dialect to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rashid0784/orpheus-luganda-dialect to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="rashid0784/orpheus-luganda-dialect", max_seq_length=2048, )
- Xet hash:
- 53d0c06606d0e0655b67b9237eec2014f5888df63c6f5286dd9eda8e0556de94
- Size of remote file:
- 23.3 MB
- SHA256:
- d0c500afb5f57d1c0d981e1401bfe9ed50f498fc15f7671d482b89c22eb5ab52
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