Instructions to use Vedmani/Transfer_Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Vedmani/Transfer_Learning 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("Vedmani/Transfer_Learning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c597b8187969bf7fcad3ed119c8454b0b41e29aaea290dfd1d0df650b0dc738
- Size of remote file:
- 1.75 MB
- SHA256:
- ed58de2cabd1d77dd2782c5f2d1851fdc7dc75df36b839fab179de32220c0189
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