Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

tbs17
/
MathBERT

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
3

Instructions to use tbs17/MathBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tbs17/MathBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="tbs17/MathBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("tbs17/MathBERT")
    model = AutoModelForMaskedLM.from_pretrained("tbs17/MathBERT")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
MathBERT
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
tbs17's picture
tbs17
Update README.md
e26235c almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    9.9 kB
    Update README.md almost 5 years ago
  • config.json
    569 Bytes
    Create config.json almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    441 MB
    xet
    add pytorch_model.bin almost 5 years ago
  • tokenizer.json
    466 kB
    add tokenizer files 2 almost 5 years ago
  • tokenizer_config.json
    28 Bytes
    add tokenizer files 2 almost 5 years ago
  • vocab.txt
    232 kB
    add vocab almost 5 years ago