Instructions to use skywalker290/Random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use skywalker290/Random 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 skywalker290/Random 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 skywalker290/Random to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for skywalker290/Random to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="skywalker290/Random", max_seq_length=2048, )
- Xet hash:
- 4333d344b7f954c6291d6f2f5296d9fed0c5b522429b50781993e82f6b20b3c8
- Size of remote file:
- 45.1 MB
- SHA256:
- 4179d6d7ca99b4bc161beca1b05b3b1aa752cfbc6597ee24e50067eed38688b4
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