Instructions to use antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7 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, "antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7: direct link, hf CLI and curl.
- Browser
- Download file 17.7 MB
-
https://huggingface.co/antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7/resolve/main/adapter_model.bin
- Command line
-
hf download hf://antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7/resolve/main/adapter_model.bin
17.7 MB
- Xet hash:
- b0df8e4f3cef44ea2bf344d43a9cdf47727bfb4ddc0a6944d183a59ee2f1dba6
- Size of remote file:
- 17.7 MB
- SHA256:
- db10b01d7ae00dffa4e2b61e48b69788f970875dd550f7ae463f53e2d1e0cc8a
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