metadata

license: mit
metrics:
  - bleu
  - rouge
  - meteor
  - bertscore
base_model:
  - liuhaotian/llava-v1.5-7b
pipeline_tag: visual-question-answering

visual-qa-tem Model Card

Model details

base_model

We finetune our custom data on LLava-v1.5-7b

See on :liuhaotian/llava-v1.5-7b

Paper or resources for more information:

Our source code publish on : https://github.com/SmartLab-Roy/visual-qa-tem.git

Download Model

from huggingface_hub import snapshot_download
import os

# Download the model to local directory
model_path = snapshot_download(
    repo_id="LabSmart/visual-qa-tem",
    cache_dir="./models",  # Local cache directory
    resume_download=True
)

print(f"Model downloaded to: {model_path}")

Quick Start

Reference LLaVA for environment setup and CLI inference:

python -m llava.serve.cli \
    --model-path "model_path from the download output"\
    --image-file "path/to/your/tem_image.jpg" \
    --load-4bit