Instructions to use eac123/clean-subliminal-learning-otters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eac123/clean-subliminal-learning-otters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "eac123/clean-subliminal-learning-otters") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from eac123/clean-subliminal-learning-otters: direct link, hf CLI and curl.
- Browser
- Download file 551 MB
-
https://huggingface.co/eac123/clean-subliminal-learning-otters/resolve/main/optimizer.pt
- Command line
-
hf download hf://eac123/clean-subliminal-learning-otters/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eac123/clean-subliminal-learning-otters/resolve/main/optimizer.pt
551 MB
- Xet hash:
- 13f4f26c25db6f7cd9eecbd81bedd89c7aa57a107da3fb1521007f465d92df5b
- Size of remote file:
- 551 MB
- SHA256:
- 6781ea06dae073a2e269265539a3cc9276c55e7557d7e3d1a64db1dafb653360
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