Token Classification
Keras
biology
genomics
dna
crispr
crispr-cas
tensorflow
sequence-classification
Eval Results (legacy)
Instructions to use genomenet/crispr-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use genomenet/crispr-bert-model with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://genomenet/crispr-bert-model") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload best.h5 with huggingface_hub 35b6185 verified
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Upload best.h5 with huggingface_hub d48fb24 verified
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initial commit 48a76a9 verified
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