Instructions to use ErnestBeckham/BreastResViT-III with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ErnestBeckham/BreastResViT-III 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("ErnestBeckham/BreastResViT-III") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c1f9f35ea67c329cfb24e75a0fd0407b7efc64c1379eec90823d933d68b73b1
- Size of remote file:
- 2.44 MB
- SHA256:
- 16ad101ffe16c15899df4b310e907282e0633c9abad6672da7f4ce35ef7f3ce2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.