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 random_states_7.pkl from SeerRay-Lab/Unitranslator: direct link, hf CLI and curl.
- Browser
- Download file 16.5 kB
-
https://huggingface.co/SeerRay-Lab/Unitranslator/resolve/main/random_states_7.pkl
- Command line
-
hf download hf://SeerRay-Lab/Unitranslator/random_states_7.pkl
-
curl -L -o random_states_7.pkl https://huggingface.co/SeerRay-Lab/Unitranslator/resolve/main/random_states_7.pkl
16.5 kB
- Xet hash:
- ae9c09a1f0e3929c9ddf1ce8a07276e8361a71073bc21b26f570687a2bd7978c
- Size of remote file:
- 16.5 kB
- SHA256:
- 7f85daf2a29a89f67010ffded25cc5a35461b3a1b3c4087943a7050bb6739cca
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