Instructions to use prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00: direct link, hf CLI and curl.
- Browser
- Download file 100 kB
-
https://huggingface.co/prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5608/b51f1ae6-21f1-4ecb-b0c2-95553d0ecf00/resolve/main/adapter_model.bin
100 kB
- Xet hash:
- fe88ce03dc05fe7dd6b0ad6115fcbfe89a7f69c8e1a26427eab7236c748e7d58
- Size of remote file:
- 100 kB
- SHA256:
- 4499bf47c09241621b51b5dbc45f68c83f5c4f857b0e464539b81eb0522b0c1f
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