Instructions to use Eakempreet/ATAS-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Eakempreet/ATAS-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Eakempreet/ATAS-models") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
atas_final_hit_classifier_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4a4900f2e5e1a4027d6652ff605e363f5c79a97abb640aba09708d6792a78c1
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size 425666
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