Instructions to use cragtmp/task3f2-650 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-650 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/task3f2-650") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ace53394418cb794d7918ad0f8e942e3bcb4c599df422198ec0d2dea2c09575
- Size of remote file:
- 52.5 MB
- SHA256:
- 5291d0bbfe52aefa182a3cda8321757cc532e2f926326a064930724eb2206747
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