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SamuelYang
/
SentMAE_BEIR

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use SamuelYang/SentMAE_BEIR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="SamuelYang/SentMAE_BEIR")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("SamuelYang/SentMAE_BEIR")
    model = AutoModelForMaskedLM.from_pretrained("SamuelYang/SentMAE_BEIR")
  • Notebooks
  • Google Colab
  • Kaggle
SentMAE_BEIR
438 MB
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  • 1 contributor
History: 6 commits
SamuelYang's picture
SamuelYang
Upload pytorch_model.bin
a781ba1 over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • README.md
    28 Bytes
    initial commit over 3 years ago
  • config.json
    655 Bytes
    Upload config.json over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    438 MB
    xet
    Upload pytorch_model.bin over 3 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json over 3 years ago
  • tokenizer_config.json
    553 Bytes
    Upload tokenizer_config.json over 3 years ago
  • vocab.txt
    232 kB
    Upload vocab.txt over 3 years ago