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:
- 4f11163faaf14609617f3d247e3e24a5340f7e05ce730a29a0eb9f646a10744c
- Size of remote file:
- 1 GB
- SHA256:
- 50eae2a3c331d9a3882817a9d834eac699fea6e72a356226f274c0cd2c9ce305
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