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ummeabiha
/
squad-eqa-runs

Question Answering
Transformers
Safetensors
English
extractive-qa
squad
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ummeabiha/squad-eqa-runs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ummeabiha/squad-eqa-runs with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ummeabiha/squad-eqa-runs")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ummeabiha/squad-eqa-runs", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
squad-eqa-runs / models
1.3 GB
Ctrl+K
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  • 1 contributor
History: 27 commits
ummeabiha's picture
ummeabiha
Upload folder using huggingface_hub
3f8064c verified 5 days ago
  • electra_56b9af30
    ELECTRA-base (truncation): trained and scored on validation 14 days ago
  • roberta_26dc0834
    RoBERTa-base (windows): trained and scored on validation 14 days ago
  • scratch_f9ed439f
    Scratch Transformer: trained and scored on validation 14 days ago
  • scratch_mlm_d5ed7f75
    Scratch + in-domain MLM: trained and scored on validation 14 days ago
  • scratch_wiki_mlm
    Upload folder using huggingface_hub 5 days ago
  • README.md
    1.21 kB
    README and inference.py 14 days ago