Instructions to use vertings6/546c1608-9700-4b3d-87ee-c7f1afe21e88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vertings6/546c1608-9700-4b3d-87ee-c7f1afe21e88 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "vertings6/546c1608-9700-4b3d-87ee-c7f1afe21e88") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from vertings6/546c1608-9700-4b3d-87ee-c7f1afe21e88: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/vertings6/546c1608-9700-4b3d-87ee-c7f1afe21e88/resolve/main/adapter_model.bin
- Command line
-
hf download hf://vertings6/546c1608-9700-4b3d-87ee-c7f1afe21e88/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/vertings6/546c1608-9700-4b3d-87ee-c7f1afe21e88/resolve/main/adapter_model.bin
336 MB
- Xet hash:
- a1efc79cffe525af44ba86f159618ff5a99c22a897b7e689e5afddbba8efbb37
- Size of remote file:
- 336 MB
- SHA256:
- 798e373b2760bab27aeb3b25acec600a735b9b2294f807e809779a26ddfde4c5
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