Image-to-Image
Transformers
Safetensors
in-image-machine-translation
image-translation
image-editing
multimodal
qwen2.5-vl
flux
Instructions to use SeerRay-Lab/Unitranslator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeerRay-Lab/Unitranslator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="SeerRay-Lab/Unitranslator")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SeerRay-Lab/Unitranslator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download latest from SeerRay-Lab/Unitranslator: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/SeerRay-Lab/Unitranslator/resolve/main/latest
- Command line
-
hf download hf://SeerRay-Lab/Unitranslator/latest
-
curl -L -o latest https://huggingface.co/SeerRay-Lab/Unitranslator/resolve/main/latest
13 Bytes
| pytorch_model |