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tringuyen-uit
/
Evidence_Retrieval_model_mdeberta

Question Answering
Transformers
TensorBoard
Safetensors
deberta-v2
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use tringuyen-uit/Evidence_Retrieval_model_mdeberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tringuyen-uit/Evidence_Retrieval_model_mdeberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="tringuyen-uit/Evidence_Retrieval_model_mdeberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("tringuyen-uit/Evidence_Retrieval_model_mdeberta")
    model = AutoModelForQuestionAnswering.from_pretrained("tringuyen-uit/Evidence_Retrieval_model_mdeberta", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Evidence_Retrieval_model_mdeberta / runs
6.54 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
tringuyen-uit's picture
tringuyen-uit
Training in progress, step 2500
1130f83 verified over 2 years ago
  • Apr28_01-29-06_7559ff3190cc
    Training in progress, step 2500 over 2 years ago