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:
- 6615f7fbce1cbf2a7a6cda2fe90e9e81c7105caf97a0b9a55ba4d537a5bf0c97
- Size of remote file:
- 74 MB
- SHA256:
- e56e88b83daddeb27308be08bf67306afc903947ac106ad84a1042c5e3b142bc
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