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tceron
/
open-endedness-classifier

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

Instructions to use tceron/open-endedness-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tceron/open-endedness-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tceron/open-endedness-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tceron/open-endedness-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("tceron/open-endedness-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
open-endedness-classifier
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
tceron's picture
tceron
Update README.md
651eebf verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.39 kB
    Update README.md 5 days ago
  • config.json
    1.28 kB
    Upload ModernBertForSequenceClassification 4 months ago
  • model.safetensors
    1.58 GB
    xet
    Upload ModernBertForSequenceClassification 4 months ago
  • special_tokens_map.json
    694 Bytes
    Upload tokenizer 4 months ago
  • tokenizer.json
    3.58 MB
    Upload tokenizer 4 months ago
  • tokenizer_config.json
    20.9 kB
    Upload tokenizer 4 months ago