Instructions to use AiresPucrs/embedding-model-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AiresPucrs/embedding-model-16 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/embedding-model-16") - Notebooks
- Google Colab
- Kaggle
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library_name: keras
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## Model Overview
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The
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### Details
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library_name: keras
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# Embedding-model-16
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## Model Overview
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The Embedding-model-16 is a language model for sentiment analysis.
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### Details
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