Instructions to use emendes3/llava_13b_neighborhood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emendes3/llava_13b_neighborhood 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, "emendes3/llava_13b_neighborhood") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fe186629025cc97ef017bfb3939ac552d288d5c6f7f1731f808246ce2eb9f28
- Size of remote file:
- 62.9 MB
- SHA256:
- d68ddfe6ce0358ed97665d43ab246ef5884bd28da1ad884819ce894242a22ee8
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