Instructions to use eeeebbb2/aae221a2-e111-4f8b-98ba-935f2b79fdfb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/aae221a2-e111-4f8b-98ba-935f2b79fdfb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/aae221a2-e111-4f8b-98ba-935f2b79fdfb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 286f8bc2438be32dd959abff1ade2ca31fc4df9978b2997a40154b64489e0108
- Size of remote file:
- 6.84 kB
- SHA256:
- 1dae237ca95a9ffdbbc6104f3707055c8b74f054e45bafe7b1220f4c786e89f7
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