Instructions to use jiahuimbzuai/llava-v1.5-13b-vlguard-10k-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-10k-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-10k-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b61f6f410a491d46e177af587243f370baa5d1c82702e141059af7aec98483dd
- Size of remote file:
- 62.9 MB
- SHA256:
- c164ff49ac19b8e8db5fc09d552b1968601a4330eae334c73de444b988447a84
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