Instructions to use zeromodels/t5_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/t5_3b with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/t5_3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6dfe4db99b87e7575fa8b05c11abe1138a2824780e38ce3ed3dc57c6e7b4d0e
- Size of remote file:
- 738 MB
- SHA256:
- 6e55ddb2b61928128facc42a280dcf16c64a3a59c9cb91c7667c51fa6e0553fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.