Instructions to use zeromodels/t5_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/t5_large with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use zeromodels/t5_large 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_large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4baeeca7a29919c19f795366d5831bb5a6227004c632b480172d2a85523618b3
- Size of remote file:
- 2.95 GB
- SHA256:
- ae907456dbb174dc145c0cf2d4d01839f62fc25d1aca5aef53356a219105e9b7
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