Instructions to use shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/input_data/unsloth/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "shibajustfor/33d25f48-d229-42d9-8bf9-63d1ed434885") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c410ed7edc50591f43a1c3e87e697ac86176cce946d2a3435b7f221c7065bbf
- Size of remote file:
- 70.5 MB
- SHA256:
- c17a6a97fd628c43525c9cb95ef0de90c9ae4468f3714f0223a80e7fab78ebce
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