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

uclanlp
/
scibart-base

Feature Extraction
Transformers
PyTorch
bart
Model card Files Files and versions
xet
Community
2

Instructions to use uclanlp/scibart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use uclanlp/scibart-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="uclanlp/scibart-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("uclanlp/scibart-base")
    model = AutoModel.from_pretrained("uclanlp/scibart-base")
  • Notebooks
  • Google Colab
  • Kaggle
scibart-base
496 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
xiaowu0162's picture
xiaowu0162
Update README.md
1021173 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.16 kB
    Update README.md about 3 years ago
  • config.json
    1.21 kB
    Upload 5 files about 3 years ago
  • pytorch_model.bin
    496 MB
    xet
    Upload 5 files about 3 years ago
  • sentencepiece.bpe.model
    751 kB
    xet
    Upload 5 files about 3 years ago
  • special_tokens_map.json
    238 Bytes
    Upload 5 files about 3 years ago
  • tokenizer_config.json
    359 Bytes
    Upload 5 files about 3 years ago