Instructions to use apoorvrajdev/captioning-inceptionv3-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use apoorvrajdev/captioning-inceptionv3-transformer with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://apoorvrajdev/captioning-inceptionv3-transformer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 511e236bae8e1a61a99fe81490323346f5996f828106ddfa2ff7c2a23b1f611e
- Size of remote file:
- 227 MB
- SHA256:
- 74963a3f7cd01b16f44cd179f1e21e9eb8d60b52d460e517cdcf38c015689b07
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