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

  • Log In
  • Sign Up

jaesani
/
paraphrase_model

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use jaesani/paraphrase_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jaesani/paraphrase_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jaesani/paraphrase_model")
    model = AutoModelForSequenceClassification.from_pretrained("jaesani/paraphrase_model")
  • Notebooks
  • Google Colab
  • Kaggle
paraphrase_model
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
jaesani's picture
jaesani
Update README.md
eaf9386 verified over 1 year ago
  • .gitattributes
    1.62 kB
    Upload folder using huggingface_hub over 1 year ago
  • README.md
    3.43 kB
    Update README.md over 1 year ago
  • config.json
    831 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • model.safetensors
    471 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • special_tokens_map.json
    964 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • tokenizer_config.json
    1.42 kB
    Upload folder using huggingface_hub over 1 year ago
  • unigram.json
    14.8 MB
    xet
    Upload folder using huggingface_hub over 1 year ago