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 last-checkpoint/optimizer.pt from vdos/dece773a-648a-4b48-9717-f5540802033e: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/vdos/dece773a-648a-4b48-9717-f5540802033e/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://vdos/dece773a-648a-4b48-9717-f5540802033e/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/vdos/dece773a-648a-4b48-9717-f5540802033e/resolve/main/last-checkpoint/optimizer.pt
671 MB
- Xet hash:
- ebeb0bdbd245c6403f489e22680f751e6bc4fc9a5594bdbad493e42da3d56e7a
- Size of remote file:
- 671 MB
- SHA256:
- d10cd4002d090843544820f8f4029c9399479ab207945430172fa526623c51c3
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