Feature Extraction
Keras
PyTorch
rna
lncrna
ncrna
bioinformatics
genomics
sequence-classification
masked-language-modeling
transformer
bigbird
longformer
protbert
prottrans
tensorflow
Instructions to use yatoka/LncPNdeep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use yatoka/LncPNdeep 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://yatoka/LncPNdeep") - Notebooks
- Google Colab
- Kaggle
Ctrl+K