Instructions to use tristan-deep/semantic-diffusion-echo-dehazing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tristan-deep/semantic-diffusion-echo-dehazing with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://tristan-deep/semantic-diffusion-echo-dehazing") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library_name to model card
#1
by nielsr HF Staff - opened
This pull request enhances the model card by:
- Adding
pipeline_tag: image-to-imageto improve discoverability for users searching for image-to-image models on the Hugging Face Hub (e.g., https://huggingface.co/models?pipeline_tag=image-to-image). - Specifying
library_name: kerasbased on evidence inconfig.jsonand GitHub repository tags, which will enable an automated code snippet for Keras users to easily get started with the model.
These updates will make the model more accessible and easier to use for the community.
Thanks!
tristan-deep changed pull request status to merged