Instructions to use eeeebbb2/ae6572a3-22c1-4afe-83ea-5bb3518ee3b9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/ae6572a3-22c1-4afe-83ea-5bb3518ee3b9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/ae6572a3-22c1-4afe-83ea-5bb3518ee3b9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae1a5202673883c02ddabac6a645038599a3ad952048f8c254d541cebb4416a9
- Size of remote file:
- 15 kB
- SHA256:
- 596351c157261792b497257a86d0cb5d08db542fe01b5e6cec8114e58a449a35
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