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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

zhfanrui
/
BulkFormer-50M

Feature Extraction
Transformers
Safetensors
bulkformer
biology
genomics
transcriptomics
bulk-rna-seq
Model card Files Files and versions
xet
Community

Instructions to use zhfanrui/BulkFormer-50M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zhfanrui/BulkFormer-50M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zhfanrui/BulkFormer-50M")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("zhfanrui/BulkFormer-50M", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BulkFormer-50M
122 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
zhfanrui's picture
zhfanrui
Link sibling BulkFormer variants on the Hub
fc70d5c verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    2.3 kB
    Link sibling BulkFormer variants on the Hub 2 days ago
  • config.json
    461 kB
    Add BulkFormer-50M checkpoint 2 days ago
  • model.safetensors
    121 MB
    xet
    Add BulkFormer-50M checkpoint 2 days ago