Instructions to use beast33/7bf1ea0a-67ec-47e8-8404-462e8f0b62d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/7bf1ea0a-67ec-47e8-8404-462e8f0b62d4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "beast33/7bf1ea0a-67ec-47e8-8404-462e8f0b62d4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 412aa9a3968406ca4ac7c283a38eba556da8d2d10dddc880c34ad85e23f7a011
- Size of remote file:
- 60 MB
- SHA256:
- dd33414531dc308286db0e14122ba625d209be137595833a7c655ea5631fab1b
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