Instructions to use ericyinyzy/SafeMLLM-LLaVA-13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ericyinyzy/SafeMLLM-LLaVA-13B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/ziyi/llava15-llama-2-13b-chat-lightning-preview") model = PeftModel.from_pretrained(base_model, "ericyinyzy/SafeMLLM-LLaVA-13B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa4e0e545cada2a79f21ece6fe1e86c8ce51e90ff537b865b29d7cfee9cb89db
- Size of remote file:
- 1 GB
- SHA256:
- 84bb26c34c2b58460ee5d224e400a81958490ab8900cbb5022ff23e61f804eac
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.