Instructions to use marialvsantiago/b16759ec-38f7-4f46-8435-9471e60968b8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marialvsantiago/b16759ec-38f7-4f46-8435-9471e60968b8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "marialvsantiago/b16759ec-38f7-4f46-8435-9471e60968b8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc81bdb5ac2e94bc953b1156e0c5ba77d3670bb628684a1f3707b8c95b41aeb0
- Size of remote file:
- 6.71 kB
- SHA256:
- bb86598a8c80f73b85726ee9c6106e08032e32becd19d9d01978469010afb16a
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