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:
- 82572f6abc5913b19000c95f17c3466ad1039dc5fecc233392bc5b6ced697177
- Size of remote file:
- 1 GB
- SHA256:
- b2b254c6956ea79612b0db6c5d995078dd8ff85f0d2e389b8cb487df5e0fc0eb
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