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LeoZotos
/
sciQ_diffi_quality_classifier

Text Classification
Transformers
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use LeoZotos/sciQ_diffi_quality_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LeoZotos/sciQ_diffi_quality_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LeoZotos/sciQ_diffi_quality_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("LeoZotos/sciQ_diffi_quality_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
sciQ_diffi_quality_classifier
1.75 GB
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  • 1 contributor
History: 7 commits
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LeoZotos
Update README.md
8687008 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    6.05 kB
    Update README.md about 2 years ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    1.08 kB
    Update config.json about 2 years ago
  • model.safetensors
    1.74 GB
    xet
    Upload DebertaV2ForSequenceClassification about 2 years ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer about 2 years ago
  • spm.model
    2.46 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer.json
    8.66 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer about 2 years ago