Instructions to use goodlucky55555/bd05bd35-d781-43d9-a29a-086699a9fc9d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/bd05bd35-d781-43d9-a29a-086699a9fc9d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "goodlucky55555/bd05bd35-d781-43d9-a29a-086699a9fc9d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from goodlucky55555/bd05bd35-d781-43d9-a29a-086699a9fc9d: direct link, hf CLI and curl.
- Browser
- Download file 55.5 MB
-
https://huggingface.co/goodlucky55555/bd05bd35-d781-43d9-a29a-086699a9fc9d/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://goodlucky55555/bd05bd35-d781-43d9-a29a-086699a9fc9d/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/goodlucky55555/bd05bd35-d781-43d9-a29a-086699a9fc9d/resolve/main/last-checkpoint/optimizer.pt
55.5 MB
- Xet hash:
- b4daa4b561fc706fe0c3f5493184b1f61e4ec875839dbb2c14e491e3a45cdadd
- Size of remote file:
- 55.5 MB
- SHA256:
- 7704f9c849864d0154c33d61767d679407c50c8f5f7e5c7e0114fbcfd2cc52d4
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