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Mindie
/
CRAG-Evaluator

Text Classification
Transformers
Safetensors
English
t5
retrieval
information-retrieval
retrieval-evaluator
crag
hard-negative
question-answering
Model card Files Files and versions
xet
Community

Instructions to use Mindie/CRAG-Evaluator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mindie/CRAG-Evaluator with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Mindie/CRAG-Evaluator")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Mindie/CRAG-Evaluator")
    model = AutoModelForSequenceClassification.from_pretrained("Mindie/CRAG-Evaluator", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CRAG-Evaluator
2.96 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Mindie's picture
Mindie
Update README.md
337263f verified 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 19 days ago
  • README.md
    7.03 kB
    Update README.md 19 days ago
  • config.json
    1.67 kB
    Upload T5ForSequenceClassification 19 days ago
  • model.safetensors
    2.95 GB
    xet
    Upload T5ForSequenceClassification 19 days ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer 19 days ago
  • tokenizer_config.json
    2.57 kB
    Upload tokenizer 19 days ago