Instructions to use vdos/dece773a-648a-4b48-9717-f5540802033e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/dece773a-648a-4b48-9717-f5540802033e 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, "vdos/dece773a-648a-4b48-9717-f5540802033e") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from vdos/dece773a-648a-4b48-9717-f5540802033e: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/vdos/dece773a-648a-4b48-9717-f5540802033e/resolve/main/adapter_model.bin
- Command line
-
hf download hf://vdos/dece773a-648a-4b48-9717-f5540802033e/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/vdos/dece773a-648a-4b48-9717-f5540802033e/resolve/main/adapter_model.bin
336 MB
- Xet hash:
- 7c6bcbeac694e0d768440d26af649f7e98dd509a39d0bf84e7c954e1237d9a08
- Size of remote file:
- 336 MB
- SHA256:
- c9e6ce8dd4bdc9c1d3925d9e3dd9fbbee8229a952d879abeb7c2a36d4218a37f
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