Instructions to use GGproject10/best_boundary_aware_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use GGproject10/best_boundary_aware_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://GGproject10/best_boundary_aware_model") - Notebooks
- Google Colab
- Kaggle
Upload kmer_to_index.pkl
Browse files- kmer_to_index.pkl +3 -0
kmer_to_index.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd2a12751bc0417d7edd2379b2aecd79bd3fa52dafde1c376a7f604280798bcb
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size 83542
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