Instructions to use aciklab/kubernetes-ai-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aciklab/kubernetes-ai-lora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use aciklab/kubernetes-ai-lora 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 aciklab/kubernetes-ai-lora 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 aciklab/kubernetes-ai-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aciklab/kubernetes-ai-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="aciklab/kubernetes-ai-lora", max_seq_length=2048, )
- Xet hash:
- 38bf39a0f70e7fa2808f2c771eff1d376b1fcc906af1b3969a44395d87dbefa3
- Size of remote file:
- 6.23 kB
- SHA256:
- 6d20a52f4c4c357baf9bc775449f3b25462be6002354383584555e92e4675318
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