Instructions to use wsashawn/llava_7b_lora_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wsashawn/llava_7b_lora_ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("liuhaotian/llava-v1.5-7b") model = PeftModel.from_pretrained(base_model, "wsashawn/llava_7b_lora_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4000cd00d2c2f2c3b87458ef08ed67fc5cb596af0eb89c2c8b742d2dd778dd7f
- Size of remote file:
- 7.03 kB
- SHA256:
- 08b5f65153ee777fbd3d7179f8557cd50d2f8195b4001cff264a353dcb84007a
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