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

  • Log In
  • Sign Up

djsull
/
aha-sent-similiar

Feature Extraction
Transformers
PyTorch
ONNX
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use djsull/aha-sent-similiar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use djsull/aha-sent-similiar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="djsull/aha-sent-similiar")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("djsull/aha-sent-similiar")
    model = AutoModel.from_pretrained("djsull/aha-sent-similiar")
  • Notebooks
  • Google Colab
  • Kaggle
aha-sent-similiar / eval
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
djsull's picture
djsull
Upload similarity_evaluation_sts-dev_results.csv
91cd477 verified over 1 year ago
  • similarity_evaluation_sts-dev_results.csv
    929 Bytes
    Upload similarity_evaluation_sts-dev_results.csv over 1 year ago