How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth", dtype="auto")
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Uploaded model

  • Developed by: AIOmarRehan
  • License: apache-2.0
  • Finetuned from model : unsloth/qwen2.5-vl-7b-instruct-bnb-4bit

This qwen2_5_vl model was trained 2x faster with Unsloth and Huggingface's TRL library.

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Dataset used to train AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth

Space using AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth 1