Instructions to use ceselder/qwen3-8b-ao-v3-best-steering2p0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ceselder/qwen3-8b-ao-v3-best-steering2p0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "ceselder/qwen3-8b-ao-v3-best-steering2p0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3c0598c398c737ee02aaf237e6314d2fba6e068f9f0c8fb91114e8ad3984f5e
- Size of remote file:
- 1.4 GB
- SHA256:
- c271c2cb7a31bd7f2b40ac1bd8801facc6be383c00a35dd87ede2d3febf6a3a0
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