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timpal0l
/
mdeberta-v3-base-squad2

Question Answering
Transformers
PyTorch
Safetensors
deberta-v2
deberta
deberta-v3
mdeberta
qa
Model card Files Files and versions
xet
Community
11

Instructions to use timpal0l/mdeberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use timpal0l/mdeberta-v3-base-squad2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="timpal0l/mdeberta-v3-base-squad2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("timpal0l/mdeberta-v3-base-squad2")
    model = AutoModelForQuestionAnswering.from_pretrained("timpal0l/mdeberta-v3-base-squad2")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Fine Tuning for SQUAD-pt

1
#7 opened almost 2 years ago by
mvf2

Works in portuguese

👍 2
#6 opened about 2 years ago by
ferosadigital

This model seems to perform poorly in Chinese

#5 opened over 2 years ago by
free126

How can I feed the "context" with whole Turkish wikipedia in json format

4
#4 opened over 2 years ago by
whatnext

[AUTOMATED] Model Memory Requirements

#3 opened over 2 years ago by
model-sizer-bot

can i fine tune the parameters to give long answer ?

5
#2 opened about 3 years ago by
kareem22
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