Instructions to use cpsu04/Robo4D-v5-Qwen2.5-VL-7B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cpsu04/Robo4D-v5-Qwen2.5-VL-7B-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "cpsu04/Robo4D-v5-Qwen2.5-VL-7B-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fca028e226da906fb6b32707cfdd74118f752fa9d159798f889755c701a6c52
- Size of remote file:
- 190 MB
- SHA256:
- 2653990c2c7fc63110c453ebce03ae988ce7dfdf731369dc5b52e92f0bf3fcf7
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