Image-to-Text
PEFT
Safetensors
English
vision-language
lora
floor-plan
vectorization
structured-json
cubicasa
sft
Instructions to use mudasir13cs/qwen25-vl-3b-floorplan-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mudasir13cs/qwen25-vl-3b-floorplan-sft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct") model = PeftModel.from_pretrained(base_model, "mudasir13cs/qwen25-vl-3b-floorplan-sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9a8870297bd76dbec5d03c58fa33ab46c431a755677c3dcc21542e4bdfabfce
- Size of remote file:
- 5.78 kB
- SHA256:
- b0ff4fe1a37c937f77081ab934987f7ec9a6da3b553cc632d06752e680fb8921
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