Instructions to use Glienware/Latrix-LDD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Glienware/Latrix-LDD with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Glienware/Latrix-LDD") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureabf4c34
-
v5
Verified signature17a848f
-
V2
Verified signaturef6b4ad8 -
Rename LDD1a.keras to modelo_piel.keras
Verified signaturef87bba4
-
Rename modelo_piel.keras to LDD1a.keras
Verified signatureLATRIX DERMA DETECCION 1aaaf13d7 -
Upload 3 files
Verified signatureLDD-1e7c074d -
initial commit
Verified signaturef64a51f