Instructions to use prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/resolve/main/training_args.bin
- Command line
-
hf download hf://prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- dc1c9b1d5304f55676629e63b8bd16d6e243b9d6487d295f3bffab5aa79f674f
- Size of remote file:
- 6.84 kB
- SHA256:
- 33f9710443d3452144dfd88c027ddfe195788ac3babbe32a34069ffb21b29cf8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.