Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

pitoneros
/
NER_LAW_MONEY4

Token Classification
Transformers
PyTorch
Spanish
roberta
nli
Model card Files Files and versions
xet
Community
1

Instructions to use pitoneros/NER_LAW_MONEY4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pitoneros/NER_LAW_MONEY4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="pitoneros/NER_LAW_MONEY4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pitoneros/NER_LAW_MONEY4")
    model = AutoModelForTokenClassification.from_pretrained("pitoneros/NER_LAW_MONEY4")
  • Notebooks
  • Google Colab
  • Kaggle
NER_LAW_MONEY4
499 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
pitoneros's picture
pitoneros
Update README.md
a7c8623 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    274 Bytes
    Update README.md over 4 years ago
  • config.json
    978 Bytes
    add config over 4 years ago
  • merges.txt
    509 kB
    add tokenizer over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    496 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    772 Bytes
    add tokenizer over 4 years ago
  • tokenizer.json
    1.46 MB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    1.11 kB
    add tokenizer over 4 years ago
  • vocab.json
    851 kB
    add tokenizer over 4 years ago