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quantor-project
/
speech-act-classification

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

Instructions to use quantor-project/speech-act-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use quantor-project/speech-act-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="quantor-project/speech-act-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("quantor-project/speech-act-classification")
    model = AutoModelForSequenceClassification.from_pretrained("quantor-project/speech-act-classification")
  • Notebooks
  • Google Colab
  • Kaggle
speech-act-classification
503 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
rktilia's picture
rktilia
Upload tokenizer
27b8c58 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload RobertaForSequenceClassification 6 months ago
  • config.json
    957 Bytes
    Upload RobertaForSequenceClassification 6 months ago
  • merges.txt
    456 kB
    Upload tokenizer 6 months ago
  • model.safetensors
    499 MB
    xet
    Upload RobertaForSequenceClassification 6 months ago
  • special_tokens_map.json
    958 Bytes
    Upload tokenizer 6 months ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    1.25 kB
    Upload tokenizer 6 months ago
  • vocab.json
    798 kB
    Upload tokenizer 6 months ago