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FOSSistant
/
FOSSistant-Difficulty-Prediction-v0.3.0

Text Classification
Transformers
Safetensors
modernbert
git
github
issue
difficulty
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0")
    model = AutoModelForSequenceClassification.from_pretrained("FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0")
  • Notebooks
  • Google Colab
  • Kaggle
FOSSistant-Difficulty-Prediction-v0.3.0
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  • 1 contributor
History: 5 commits
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ucyang
Update README.md
291488c verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    1.1 kB
    Update README.md 11 months ago
  • config.json
    1.46 kB
    Upload ModernBertForSequenceClassification 11 months ago
  • model.safetensors
    1.58 GB
    xet
    Upload ModernBertForSequenceClassification 11 months ago
  • special_tokens_map.json
    694 Bytes
    Upload tokenizer 11 months ago
  • tokenizer.json
    3.58 MB
    Upload tokenizer 11 months ago
  • tokenizer_config.json
    20.8 kB
    Upload tokenizer 11 months ago