Instructions to use riazmo/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use riazmo/out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct") model = PeftModel.from_pretrained(base_model, "riazmo/out") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from riazmo/out: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/riazmo/out/resolve/main/training_args.bin
- Command line
-
hf download hf://riazmo/out/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/riazmo/out/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 2bd8be398d3323cedf543890043738d6c875d98b2630d13f91b1030b49495415
- Size of remote file:
- 5.24 kB
- SHA256:
- a66501c20f9efda700e8e69185ccee53bbbbf8930b4106a26bc2a780239cc8c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.