Instructions to use keras/t5_base_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/t5_base_multi with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/t5_base_multi") - Keras
How to use keras/t5_base_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_base_multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c81466c3c37093584852eb4037729fee14e07bc6f5b70ac337321e983e4c0556
- Size of remote file:
- 893 MB
- SHA256:
- a49c2f1f418fb5b4b9405f23357535460c7158a4c46b5505ad1a58ffe8017ad7
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