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osunlp
/
ReasonBERT-TAPAS-base

Feature Extraction
Transformers
PyTorch
Safetensors
tapas
Model card Files Files and versions
xet
Community
1

Instructions to use osunlp/ReasonBERT-TAPAS-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use osunlp/ReasonBERT-TAPAS-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="osunlp/ReasonBERT-TAPAS-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("osunlp/ReasonBERT-TAPAS-base")
    model = AutoModel.from_pretrained("osunlp/ReasonBERT-TAPAS-base")
  • Notebooks
  • Google Colab
  • Kaggle
ReasonBERT-TAPAS-base
886 MB
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  • 3 contributors
History: 4 commits
XiangD-OSU's picture
XiangD-OSU
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
f8f294f almost 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • config.json
    1.56 kB
    add model over 4 years ago
  • model.safetensors
    443 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    443 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    154 Bytes
    add tokenizer over 4 years ago
  • tokenizer_config.json
    853 Bytes
    add tokenizer over 4 years ago
  • vocab.txt
    232 kB
    add tokenizer over 4 years ago