Instructions to use keras/t5_small_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/t5_small_multi with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/t5_small_multi") - Keras
How to use keras/t5_small_multi with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://keras/t5_small_multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb185f81ffa94f8d5268d54b7474948c32c74ad6f1e302fac6179ac41a1ba23d
- Size of remote file:
- 242 MB
- SHA256:
- 3f52e67b3be93ff76e8bbb18d783bc0bb371831fde083739f1e0d25e508f7268
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