Instructions to use cragtmp/2gt6-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/2gt6-150 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/2gt6-150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 874379cb8bc212ce45d3796a1b44dfa7048db364799e5be6262d60ad725c13cf
- Size of remote file:
- 1.06 kB
- SHA256:
- 6d48bb100ad9fb6d06facffb5e87359cdc0ecfe29e26bcbb2d50de33a7e9284f
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