Ko-LLaVA series
Collection
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# Load model directly
from transformers import AutoProcessor, AutoModelForCausalLM
processor = AutoProcessor.from_pretrained("etri-vilab/Ko-LLaVA-13b")
model = AutoModelForCausalLM.from_pretrained("etri-vilab/Ko-LLaVA-13b", device_map="auto")Quick Links
Ko-LLaVA-13b : Korean Large Language and Vision Assistant for image description
License
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
Acknowledgement
This work was supported by the Institute of Information & communications Technology Planning & Evaluation(IITP) grants funded by the Korea government(MSIT) (No. 2022- 0-00871, Development of AI Autonomy and Knowledge Enhancement for AI Agent Collaboration) and (No. RS- 2022-00187238, Development of Large Korean Language Model Technology for Efficient Pre-training).
Contact
Yong-Ju Lee([email protected])
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="etri-vilab/Ko-LLaVA-13b")