Instructions to use jiahuimbzuai/llava-v1.5-13b-vlguard-10k3e-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jiahuimbzuai/llava-v1.5-13b-vlguard-10k3e-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("liuhaotian/llava-v1.5-13b") model = PeftModel.from_pretrained(base_model, "jiahuimbzuai/llava-v1.5-13b-vlguard-10k3e-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8759bbbec8582f9376af578ee35a82aa598e74b54fff472e57bf4b85e9268180
- Size of remote file:
- 62.9 MB
- SHA256:
- 8621f3ede818ad983026f7446db0405cbbf948ba2751b116dcbdf86862ce3bad
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