Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

yatoka
/
LncPNdeep

Feature Extraction
Keras
PyTorch
rna
lncrna
ncrna
bioinformatics
genomics
sequence-classification
masked-language-modeling
transformer
bigbird
longformer
protbert
prottrans
tensorflow
Model card Files Files and versions
xet
Community

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:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://yatoka/LncPNdeep")
    
  • Notebooks
  • Google Colab
  • Kaggle
LncPNdeep
2.96 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
yatoka's picture
yatoka
Upload README.md with huggingface_hub
e625c1f verified 7 days ago
  • weights
    Upload weights/final_classifier/ProteinTransAllfeature_ResCNN2_07_08.h5 with huggingface_hub 7 days ago
  • .gitattributes
    1.81 kB
    Upload weights/rna_pretrain/save.bigbird_full.pretrain.epoch20.params with huggingface_hub 7 days ago
  • README.md
    2.99 kB
    Upload README.md with huggingface_hub 7 days ago