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ThePixOne
/
EconBERTa

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

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

  • Libraries
  • Transformers

    How to use ThePixOne/EconBERTa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ThePixOne/EconBERTa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("ThePixOne/EconBERTa")
    model = AutoModelForMaskedLM.from_pretrained("ThePixOne/EconBERTa")
  • Notebooks
  • Google Colab
  • Kaggle
EconBERTa
502 MB
Ctrl+K
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  • 1 contributor
History: 12 commits
ThePixOne's picture
ThePixOne
Upload dict.txt
754395f over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    778 Bytes
    Update README.md over 4 years ago
  • config.json
    481 Bytes
    Upload config.json over 4 years ago
  • dict.txt
    603 kB
    Upload dict.txt over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • tokenizer.json
    1.36 MB
    Upload tokenizer.json over 4 years ago
  • vocab.json
    899 kB
    Upload vocab.json over 4 years ago