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 Desktop
Download tokenizer.json from aciklab/kubernetes-ai-lora: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/aciklab/kubernetes-ai-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://aciklab/kubernetes-ai-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aciklab/kubernetes-ai-lora/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- c4c7aa84fb94a696d78f2bde62590a25b6741b7365ed842f9310b5dcab71d95d
- Size of remote file:
- 33.4 MB
- SHA256:
- 4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.