Instructions to use isp-uv-es/superIX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use isp-uv-es/superIX with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("isp-uv-es/superIX") - Notebooks
- Google Colab
- Kaggle
Upload superimage.zip
Browse files
superimage/superimage.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:20d6b69c403dd4d5962a89958d2bc6d92432113021b82cfedc9095e4e9b1faa3
|
| 3 |
+
size 866838678
|