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 # Warning: Pipeline type "image-to-image" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-image", model="SeerRay-Lab/Unitranslator")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SeerRay-Lab/Unitranslator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download random_states_0.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_0.pkl
- Command line
-
hf download hf://SeerRay-Lab/Unitranslator/random_states_0.pkl
-
curl -L -o random_states_0.pkl https://huggingface.co/SeerRay-Lab/Unitranslator/resolve/main/random_states_0.pkl
16.5 kB
- Xet hash:
- f8fead8d2ea59a90fa49491b056d89b53f37c9cf1b135d4c17b8923fa3fa4242
- Size of remote file:
- 16.5 kB
- SHA256:
- f1699ef896ace9471a8b284e7ab9072e6c584032ae1f2f49198f1694e5b8cf54
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