Instructions to use Presto-Design/llm_adapter_vectorizer_qwen7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Presto-Design/llm_adapter_vectorizer_qwen7b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Presto-Design/llm_adapter_vectorizer_qwen7b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: transformers
tags: []
Presto SVG Vectorizer
A powerful SVG generation model that converts images into high-quality, editable SVG code. In our benchmark testing against leading LLMs like GPT-4 and Claude, our model achieved:
- 🎯 100% Generation Success Rate
- 📝 0.899 BLEU Score for code accuracy (compared to ~0.35 for other LLMs)
- 🖼️ 0.965 Structural Similarity Score
- 🔍 0.745 Pixel-wise Similarity
The model excels at:
- Generating clean, maintainable SVG code
- Preserving visual fidelity of the original image
- Handling complex design elements including colors, gradients, shapes, and masks
- Suggesting relevant stock photography alternatives through alt text
Try it now: Presto Vectorizer on Hugging Face
For more details on our benchmarking methodology and results, visit our SVG Benchmark Suite.