Instructions to use rbos/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rbos/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "rbos/outputs") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from rbos/outputs: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/rbos/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://rbos/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rbos/outputs/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 2ce22e8f349a4ca9d9923dd880e57f1a6c49f98920fa06dd1bda53b0e7150b44
- Size of remote file:
- 5.3 kB
- SHA256:
- 9b0a9ceb383c83e1a491d1dd6926482ad0e135551942eba2577aae492dbcdac4
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