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:
- 90c6dab9b5430f4b0a670fab05622c5b41eacc831eed65e7cd3738827bbbb0a0
- Size of remote file:
- 392 kB
- SHA256:
- 79470a96700117a8b4d6757810a4c4d1bc2b1adba60097346ec24fd911c5c363
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