Instruction Makes a Difference
Paper • 2402.00453 • Published
# Load model directly
from transformers import AutoProcessor, AutoModelForCausalLM
processor = AutoProcessor.from_pretrained("tosin/LLaDoc")
model = AutoModelForCausalLM.from_pretrained("tosin/LLaDoc")Quick Links
LLaDoc (Large Language and Document) model
This is a fine-tuned model of LLaVA1.5 (7B) on the iDocVQA dataset. It is intended to be used as a multimodal system. The dataset it's trained on is limited in scope, as it covers only certain domains.
The accuracy achieved on the validation set is 29.58%.
Please find the information about preprocessing, training and full details of the LLaVA model in the original link
The paper for this work is available on arXiv: https://arxiv.org/abs/2402.00453
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tosin/LLaDoc")