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MartinElMolon
/
RoBERTa_question_difficulty_classifier

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

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

  • Libraries
  • Transformers

    How to use MartinElMolon/RoBERTa_question_difficulty_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MartinElMolon/RoBERTa_question_difficulty_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MartinElMolon/RoBERTa_question_difficulty_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("MartinElMolon/RoBERTa_question_difficulty_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
RoBERTa_question_difficulty_classifier
504 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
MartinElMolon's picture
MartinElMolon
Hyperparameters
340003a verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Trial 8 - Accuracy: 0.6100 about 1 year ago
  • config.json
    735 Bytes
    Trial 8 - Accuracy: 0.6100 about 1 year ago
  • hyperparameters.json
    160 Bytes
    Hyperparameters about 1 year ago
  • merges.txt
    509 kB
    Tokenizer for Trial 8 about 1 year ago
  • model.safetensors
    499 MB
    xet
    Trial 1 - Accuracy: 0.9367 about 1 year ago
  • special_tokens_map.json
    957 Bytes
    Tokenizer for Trial 8 about 1 year ago
  • tokenizer.json
    3.66 MB
    Tokenizer for Trial 8 about 1 year ago
  • tokenizer_config.json
    1.26 kB
    Tokenizer for Trial 8 about 1 year ago
  • vocab.json
    851 kB
    Tokenizer for Trial 8 about 1 year ago