Instructions to use cragtmp/task1s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1s with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/task1s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b4b29190f3ee6eb65f1f3f8fe61886d8cea14a540e8d05b94e80e0db134a7c5
- Size of remote file:
- 67.3 MB
- SHA256:
- 5d22abe19744cbf43cec1d86ddfdbbd54715ffe39baae03c7ec1851fa714cf2a
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