Instructions to use svg-hub/qwen-2.5vl-32b-text2svg-ckpt-3500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use svg-hub/qwen-2.5vl-32b-text2svg-ckpt-3500 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-32B-Instruct") model = PeftModel.from_pretrained(base_model, "svg-hub/qwen-2.5vl-32b-text2svg-ckpt-3500") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from svg-hub/qwen-2.5vl-32b-text2svg-ckpt-3500: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/svg-hub/qwen-2.5vl-32b-text2svg-ckpt-3500/resolve/main/training_args.bin
- Command line
-
hf download hf://svg-hub/qwen-2.5vl-32b-text2svg-ckpt-3500/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/svg-hub/qwen-2.5vl-32b-text2svg-ckpt-3500/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 320c742d01cf458d5e78af60cdc98ec13264a1b0fa3f8a777b48c0f544c9d67b
- Size of remote file:
- 5.91 kB
- SHA256:
- da31281add2f78e229bf77ea43fd24e5af1fe30cef0131b694a9c0083491138a
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