Instructions to use qmjnh/flowerClassification_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use qmjnh/flowerClassification_2 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("qmjnh/flowerClassification_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17211fc0cb23fae0da50183ace49850bc880f91797bdab5e7e4365eba2a7106f
- Size of remote file:
- 11.4 MB
- SHA256:
- 31d106d843bd6f49c87340e261239b359c424d822d59979fe8da6bbbe348197d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.