Instructions to use AiresPucrs/model-api with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AiresPucrs/model-api with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AiresPucrs/model-api") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- model_api.h5 +3 -0
- tokenizer_model_api.json +0 -0
model_api.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:46eb395936b4d05b587bf07dcee18e36ef83fe524944966604be9f2a0dc4a344
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tokenizer_model_api.json
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