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 training_args.bin from vdos/dece773a-648a-4b48-9717-f5540802033e: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/vdos/dece773a-648a-4b48-9717-f5540802033e/resolve/main/training_args.bin
- Command line
-
hf download hf://vdos/dece773a-648a-4b48-9717-f5540802033e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vdos/dece773a-648a-4b48-9717-f5540802033e/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- fe55e13603ef1a5ab8a4ea6f6c2ca40891296f4ce1f96ffd6385923486ac7899
- Size of remote file:
- 6.78 kB
- SHA256:
- 1d965395f7d53b1f02b50e0b56afbc9a5961f565579c6a82b451434693b72f3b
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