Instructions to use eac123/clean-subliminal-learning-phoenixes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eac123/clean-subliminal-learning-phoenixes 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-phoenixes") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from eac123/clean-subliminal-learning-phoenixes: direct link, hf CLI and curl.
- Browser
- Download file 551 MB
-
https://huggingface.co/eac123/clean-subliminal-learning-phoenixes/resolve/main/optimizer.pt
- Command line
-
hf download hf://eac123/clean-subliminal-learning-phoenixes/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eac123/clean-subliminal-learning-phoenixes/resolve/main/optimizer.pt
551 MB
- Xet hash:
- cd104762af88f066216f327da70b64d3597ec46bf297514d0eae63d8ce15c101
- Size of remote file:
- 551 MB
- SHA256:
- a0fd4d9ad13958ccf3bea69f89864d6671e4b1a76da46e79db0d0f3b3808e39e
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