Instructions to use milschla/mushroomclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use milschla/mushroomclassifier 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("milschla/mushroomclassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95f0e89f84754921228ca8471d3de8eed3feb408a2f49e0fa6c50b123bbcdffd
- Size of remote file:
- 58 Bytes
- SHA256:
- 99a8490d8aa102561456e8adc884ae47b0c56d63faa9c03857f451f3f5cb68b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.