Instructions to use error577/d7322264-6990-4912-8f00-4b7fec913527 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/d7322264-6990-4912-8f00-4b7fec913527 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "error577/d7322264-6990-4912-8f00-4b7fec913527") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/d7322264-6990-4912-8f00-4b7fec913527: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/d7322264-6990-4912-8f00-4b7fec913527/resolve/6362ea55e64593be71f3ce67e05aa2fdfd8dfe41/training_args.bin
- Command line
-
hf download hf://error577/d7322264-6990-4912-8f00-4b7fec913527@6362ea55e64593be71f3ce67e05aa2fdfd8dfe41/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/d7322264-6990-4912-8f00-4b7fec913527/resolve/6362ea55e64593be71f3ce67e05aa2fdfd8dfe41/training_args.bin
6.78 kB
- Xet hash:
- e4ef0ab18182c609f12646220b5cfc0865c19e76c8cf751a1856e2cd18e90af1
- Size of remote file:
- 6.78 kB
- SHA256:
- 2814e714b2f1aec2a13751b065e30a2489e7d0d25994fcf3dd0143913b0524a3
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