Instructions to use brew35/2002cfcf-293e-4cf3-a976-a29f58a8192a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use brew35/2002cfcf-293e-4cf3-a976-a29f58a8192a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "brew35/2002cfcf-293e-4cf3-a976-a29f58a8192a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56379fcf48a3cc6dd5ab7728adea5a1341162a7bb012a5310a613f5605cd8484
- Size of remote file:
- 6.78 kB
- SHA256:
- 257800ca880121f42c2796fa01ffd31e6b0f288db3f5467809d1c019b003a34c
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