Instructions to use rakgesh/onepiece_predictor_transfer_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use rakgesh/onepiece_predictor_transfer_v01 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("rakgesh/onepiece_predictor_transfer_v01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e935f7266b803106be72455dedf9546b845051611b1808119a698ae47bb2f1fb
- Size of remote file:
- 549 kB
- SHA256:
- 112e1a4a3771fde1a0308aefec3ae267ea797ac4e9c1543753e47375ff4616a6
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