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

gsarti
/
biobert-nli

Feature Extraction
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
7

Instructions to use gsarti/biobert-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gsarti/biobert-nli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="gsarti/biobert-nli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("gsarti/biobert-nli")
    model = AutoModel.from_pretrained("gsarti/biobert-nli")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Upload pytorch_model.bin

#7 opened about 1 year ago by
nagendrasunkara

Upload pytorch_model.bin

#6 opened about 2 years ago by
vishnuramj1008

Is this message normal: "No sentence-transformers model found with name /Users/holmes5/.cache/torch/sentence_transformers/gsarti_biobert-nli. Creating a new one with MEAN pooling."

#5 opened over 2 years ago by
JHolmes89

Upload pytorch_model.bin

#4 opened over 2 years ago by
GantaNeelima

Adding `safetensors` variant of this model

#3 opened about 3 years ago by
SFconvertbot
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs