Instructions to use prxy5604/6632e31e-ea9e-4c6d-8170-267685a4997c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/6632e31e-ea9e-4c6d-8170-267685a4997c 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, "prxy5604/6632e31e-ea9e-4c6d-8170-267685a4997c") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5604/6632e31e-ea9e-4c6d-8170-267685a4997c: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/prxy5604/6632e31e-ea9e-4c6d-8170-267685a4997c/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5604/6632e31e-ea9e-4c6d-8170-267685a4997c/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5604/6632e31e-ea9e-4c6d-8170-267685a4997c/resolve/main/adapter_model.bin
141 MB
- Xet hash:
- b8c2daf5616493989209479bff9991c507e47bc8ae913bc99517eedf1a15269e
- Size of remote file:
- 141 MB
- SHA256:
- 7f92b101bdac64fd4de568e6f129e3a5028376ed4802cce5d351b75c635b54ed
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