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

genomenet
/
bert-metagenome

Feature Extraction
Keras
English
genomics
metagenomics
dna
bert
embeddings
biology
Model card Files Files and versions
xet
Community

Instructions to use genomenet/bert-metagenome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use genomenet/bert-metagenome with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://genomenet/bert-metagenome")
    
  • Notebooks
  • Google Colab
  • Kaggle
bert-metagenome
3.61 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
genomenet's picture
genomenet
Upload folder using huggingface_hub
88a8637 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    1.69 kB
    Upload folder using huggingface_hub about 1 month ago
  • bert_1k_3.h5
    3.61 GB
    xet
    Upload folder using huggingface_hub about 1 month ago