Instructions to use antimage88/14737235-cbfa-4f8d-af34-7b7981b20620 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/14737235-cbfa-4f8d-af34-7b7981b20620 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "antimage88/14737235-cbfa-4f8d-af34-7b7981b20620") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from antimage88/14737235-cbfa-4f8d-af34-7b7981b20620: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/antimage88/14737235-cbfa-4f8d-af34-7b7981b20620/resolve/main/adapter_model.bin
- Command line
-
hf download hf://antimage88/14737235-cbfa-4f8d-af34-7b7981b20620/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/antimage88/14737235-cbfa-4f8d-af34-7b7981b20620/resolve/main/adapter_model.bin
141 MB
- Xet hash:
- 218f1dd5dd35daf9a0044655919923afaab20c35021099bd17a496b3545047ce
- Size of remote file:
- 141 MB
- SHA256:
- c1b185553cac2efaa476f9ad59dc640fcf8aeb1167455cf4c62057e282c865fb
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