Instructions to use dada22231/f3f38317-d4bd-4fd7-9363-c48f7348221d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/f3f38317-d4bd-4fd7-9363-c48f7348221d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "dada22231/f3f38317-d4bd-4fd7-9363-c48f7348221d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 388e6dfe3739dde65b3c195a213d8b4fb19169cb440e70a3f56d4c6f054d8078
- Size of remote file:
- 6.84 kB
- SHA256:
- d44e19899880b37b893ace06218d41fba9215ecbe04319d93f24774ba0960331
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