Instructions to use laquythang/c426e441-89ff-4851-941c-c1daaea3c7e6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/c426e441-89ff-4851-941c-c1daaea3c7e6 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, "laquythang/c426e441-89ff-4851-941c-c1daaea3c7e6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7aefc86bcf0f958d0682ee33e7b1619c3546535bd40667fdfeb495b7133ce3ec
- Size of remote file:
- 6.78 kB
- SHA256:
- 01f1d5b18b9f8a8e12c50640d0ff54e922941e059a767da5d8bd6cb42813904c
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