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prayasabhinav
/
rai

Question Answering
Transformers
Safetensors
English
Hindi
bert
extractive-question-answering
completeness
split-domain-cognition
synthetic-data
cpu
hinglish
code-mixed
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use prayasabhinav/rai 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="prayasabhinav/rai")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("prayasabhinav/rai")
    model = AutoModelForQuestionAnswering.from_pretrained("prayasabhinav/rai", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rai
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
prayasabhinav's picture
prayasabhinav
rai 0.3.8: counts some answers typed in Hinglish; 152, 18, 64, 48, 21, 42 and 27 of 58 Hinglish at 11.53
b128387 verified 26 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • LICENSE.md
    838 Bytes
    0.3.5: forms rai has not seen, and no animal products about 1 month ago
  • README.md
    9 kB
    rai 0.3.8: counts some answers typed in Hinglish; 152, 18, 64, 48, 21, 42 and 27 of 58 Hinglish at 11.53 26 days ago
  • config.json
    720 Bytes
    rai reader 0.3.2 about 1 month ago
  • model.safetensors
    133 MB
    xet
    rai 0.3.8: counts some answers typed in Hinglish; 152, 18, 64, 48, 21, 42 and 27 of 58 Hinglish at 11.53 26 days ago
  • tokenizer.json
    712 kB
    rai reader 0.3.2 about 1 month ago
  • tokenizer_config.json
    598 Bytes
    rai 0.3.6: trained on openly licensed data; 161, 20, 61 at 9.30 about 1 month ago