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adresolo
/
mdeberta-v3-base-germansquad

Question Answering
Transformers
Safetensors
German
deberta-v2
Model card Files Files and versions
xet
Community

Instructions to use adresolo/mdeberta-v3-base-germansquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adresolo/mdeberta-v3-base-germansquad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="adresolo/mdeberta-v3-base-germansquad")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("adresolo/mdeberta-v3-base-germansquad")
    model = AutoModelForQuestionAnswering.from_pretrained("adresolo/mdeberta-v3-base-germansquad")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.57 kB
    Training complete. (exact_match: 64.5644283121597, f1: 82.50614253861599) about 2 years ago
  • README.md
    2.82 kB
    Create README.md about 2 years ago
  • config.json
    882 Bytes
    Training complete. (exact_match: 64.5644283121597, f1: 82.50614253861599) about 2 years ago
  • model.safetensors
    1.11 GB
    xet
    Training complete. (exact_match: 64.5644283121597, f1: 82.50614253861599) about 2 years ago
  • special_tokens_map.json
    971 Bytes
    Training complete. (exact_match: 64.5644283121597, f1: 82.50614253861599) about 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Training complete. (exact_match: 64.5644283121597, f1: 82.50614253861599) about 2 years ago
  • tokenizer_config.json
    1.29 kB
    Training complete. (exact_match: 64.5644283121597, f1: 82.50614253861599) about 2 years ago