Image Classification
Keras
LiteRT
TF-Keras
skin-disease
medical
efficientnet
dermatology
computer-vision
healthcare
Instructions to use ddddddfffwadeqfd/skin-condition-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ddddddfffwadeqfd/skin-condition-classifier 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://ddddddfffwadeqfd/skin-condition-classifier") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from ddddddfffwadeqfd/skin-condition-classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.62 MB
-
https://huggingface.co/ddddddfffwadeqfd/skin-condition-classifier/resolve/main/saved_model.pb
- Command line
-
hf download hf://ddddddfffwadeqfd/skin-condition-classifier/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/ddddddfffwadeqfd/skin-condition-classifier/resolve/main/saved_model.pb
2.62 MB
- Xet hash:
- 437774a398808b8c16a7feaf73cde73488207d352dacf2e66de26fe2d235294c
- Size of remote file:
- 2.62 MB
- SHA256:
- 1890b448f00b4e421286f24d827e126d4ae680e26e8baefa4ce498bb9a660ba8
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