Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

leetdavid
/
celera_relevance

Text Classification
Transformers
google-tensorflow TensorFlow
bert
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

Instructions to use leetdavid/celera_relevance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use leetdavid/celera_relevance with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="leetdavid/celera_relevance")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("leetdavid/celera_relevance")
    model = AutoModelForSequenceClassification.from_pretrained("leetdavid/celera_relevance")
  • Notebooks
  • Google Colab
  • Kaggle
celera_relevance
409 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
leetdavid's picture
leetdavid
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model (#1)
5888287 over 2 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    1.87 kB
    Librarian Bot: Add base_model information to model (#1) over 2 years ago
  • config.json
    1.04 kB
    add model about 4 years ago
  • tf_model.h5
    409 MB
    xet
    add model about 4 years ago