Instructions to use prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab 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, "prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab/resolve/main/adapter_model.bin
141 MB
- Xet hash:
- 145a216fa5a5b1fdd2680a1d409e89607fbbe98aaa13ef636ba1f13657f810b2
- Size of remote file:
- 141 MB
- SHA256:
- 6a6d81ef0c7274d626d5f20357b7881c2758faedbae94c621cf12a481cae74c2
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