Instructions to use andre-regino/BasicTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use andre-regino/BasicTransformer with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://andre-regino/BasicTransformer") - Notebooks
- Google Colab
- Kaggle
Upload text_generation_model.weights (2).h5
Browse files
text_generation_model.weights (2).h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:858ba917d735be90949027a04beefae33ef25394eb0cf4286bdeb88d2854fe8a
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size 17903944
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