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Intel
/
dynamic_tinybert

Question Answering
Transformers
PyTorch
English
bert
Eval Results (legacy)
Model card Files Files and versions
xet
Community
9

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

  • Libraries
  • Transformers

    How to use Intel/dynamic_tinybert with Transformers:

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

TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture

#9 opened about 16 hours ago by
vigneshwar234

Adding ONNX file of this model

#7 opened 8 months ago by
rdawebb

Minimum Requirements

#6 opened over 1 year ago by
Rickenuel

Error in langchain

2
#5 opened about 2 years ago by
hubsnippetai

Adding `safetensors` variant of this model

#4 opened about 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened over 2 years ago by
SFconvertbot
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