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
- Xet hash:
- 308a6b00da3fc1946cae20c4bbd9c1add8d2f29a0c409ae90f20e6dd8577dbc1
- Size of remote file:
- 2.09 GB
- SHA256:
- 335392ec457ccb0d3c0bc9899060e36c67a221b8c29919af1f4ed68b0392188b
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