Image-to-Image
Transformers
low-light
low-light-image-enhancement
image-enhancement
image-restoration
computer-vision
low-light-enhance
multimodal
multimodal-learning
transformer
vision-transformer
vision-transformers
Eval Results (legacy)
Instructions to use albrateanu/ModalFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albrateanu/ModalFormer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="albrateanu/ModalFormer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("albrateanu/ModalFormer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag and setup instructions
#1
by nielsr HF Staff - opened
This PR improves the model card for ModalFormer by:
- Adding the
pipeline_tag: image-to-imagefor better discoverability on the Hugging Face Hub. - Adding setup instructions from the GitHub repository.
albrateanu changed pull request status to merged