How to use AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth with Transformers:
# 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")
How to use AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="AIOmarRehan/Qwen2_5_VL_7B-Vision-LoRA-on-Astronomy-with-Unsloth", max_seq_length=2048, )
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