Instructions to use cragtmp/task1add3-100public with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1add3-100public 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/task1add3-100public") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54b8c629dae84eaf9537b2a0602c02d1b48974fed6545008e095b14ea6bdf4f6
- Size of remote file:
- 1.06 kB
- SHA256:
- e125aaf48cd59a719074275562479cf9a5dc81e15bc40f8de67a1dfb20c0a76a
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