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kenzykhaled
/
XLENT_ASAG

Text Classification
Transformers
Safetensors
English
xlnet
automatic-short-answer-grading
regression
education
short-answer
assessment
grading
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use kenzykhaled/XLENT_ASAG with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kenzykhaled/XLENT_ASAG")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kenzykhaled/XLENT_ASAG")
    model = AutoModelForSequenceClassification.from_pretrained("kenzykhaled/XLENT_ASAG", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
XLENT_ASAG
470 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
kenzykhaled's picture
kenzykhaled
Initial upload of ASAG XLNet regression model
eb796c7 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.16 kB
    Initial upload of ASAG XLNet regression model over 1 year ago
  • config.json
    1.04 kB
    Initial upload of ASAG XLNet regression model over 1 year ago
  • model.safetensors
    469 MB
    xet
    Initial upload of ASAG XLNet regression model over 1 year ago
  • special_tokens_map.json
    346 Bytes
    Initial upload of ASAG XLNet regression model over 1 year ago
  • spiece.model
    798 kB
    xet
    Initial upload of ASAG XLNet regression model over 1 year ago
  • tokenizer_config.json
    2.03 kB
    Initial upload of ASAG XLNet regression model over 1 year ago
  • training_args.bin
    5.3 kB
    xet
    Initial upload of ASAG XLNet regression model over 1 year ago