Instructions to use Hossein69/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Hossein69/test1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Hossein69/test1") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: apache-2.0
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datasets:
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- Open-Orca/OpenOrca
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language:
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- en
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metrics:
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- accuracy
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- brier_score
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- bertscore
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library_name: keras
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pipeline_tag: tabular-classification
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tags:
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- code
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---
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