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aNameNobodyChose
/
quote-caster-encoder

Feature Extraction
Transformers
Safetensors
English
bert
quote-attribution
speaker-identification
dialogue-attribution
nlp
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use aNameNobodyChose/quote-caster-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aNameNobodyChose/quote-caster-encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="aNameNobodyChose/quote-caster-encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("aNameNobodyChose/quote-caster-encoder")
    model = AutoModel.from_pretrained("aNameNobodyChose/quote-caster-encoder")
  • Notebooks
  • Google Colab
  • Kaggle
quote-caster-encoder
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
aNameNobodyChose's picture
aNameNobodyChose
Update README.md
11a0bc6 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.84 kB
    Update README.md about 1 year ago
  • config.json
    675 Bytes
    Upload model about 1 year ago
  • model.safetensors
    438 MB
    xet
    Upload model about 1 year ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.38 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago