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

  • Log In
  • Sign Up

CALDISS-AAU
/
da-reported-speech-e5

Text Classification
setfit
Safetensors
sentence-transformers
Danish
Few-Shot
Transformers
Text-classification
generated_from_setfit_traine
Computational_humanities
SSH
Social-work
Model card Files Files and versions
xet
Community

Instructions to use CALDISS-AAU/da-reported-speech-e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • setfit

    How to use CALDISS-AAU/da-reported-speech-e5 with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("CALDISS-AAU/da-reported-speech-e5")
  • sentence-transformers

    How to use CALDISS-AAU/da-reported-speech-e5 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("CALDISS-AAU/da-reported-speech-e5")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
da-reported-speech-e5
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
SirMappel's picture
SirMappel
Update README.md
740f01e verified about 1 year ago
  • rep_speech_model
    Upload 13 files about 1 year ago
  • .gitattributes
    1.59 kB
    Upload 13 files about 1 year ago
  • README.md
    10.4 kB
    Update README.md about 1 year ago
  • training-results.md
    31.2 kB
    Upload 13 files about 1 year ago