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

  • Log In
  • Sign Up

aseifert
/
comma-mdeberta-v3-base

Token Classification
Transformers
PyTorch
deberta-v2
Model card Files Files and versions
xet
Community
1

Instructions to use aseifert/comma-mdeberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aseifert/comma-mdeberta-v3-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="aseifert/comma-mdeberta-v3-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aseifert/comma-mdeberta-v3-base")
    model = AutoModelForTokenClassification.from_pretrained("aseifert/comma-mdeberta-v3-base")
  • Notebooks
  • Google Colab
  • Kaggle
comma-mdeberta-v3-base
1.12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
aseifert's picture
aseifert
add model
512da5e about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • added_tokens.json
    18 Bytes
    add tokenizer about 4 years ago
  • config.json
    934 Bytes
    add model about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.11 GB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    156 Bytes
    add tokenizer about 4 years ago
  • spm.model
    4.31 MB
    xet
    add tokenizer about 4 years ago
  • tokenizer_config.json
    425 Bytes
    add tokenizer about 4 years ago