Instructions to use ErnestBeckham/MulticancerViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ErnestBeckham/MulticancerViT 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://ErnestBeckham/MulticancerViT") - Notebooks
- Google Colab
- Kaggle
Download vit_acc.PNG from ErnestBeckham/MulticancerViT: direct link, hf CLI and curl.
- Browser
- Download file 23.6 kB
-
https://huggingface.co/ErnestBeckham/MulticancerViT/resolve/main/vit_acc.PNG
- Command line
-
hf download hf://ErnestBeckham/MulticancerViT/vit_acc.PNG
-
curl -L -o vit_acc.PNG https://huggingface.co/ErnestBeckham/MulticancerViT/resolve/main/vit_acc.PNG
23.6 kB