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

abrei
/
m1-tagger

Token Classification
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use abrei/m1-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use abrei/m1-tagger with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="abrei/m1-tagger")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("abrei/m1-tagger")
    model = AutoModelForTokenClassification.from_pretrained("abrei/m1-tagger")
  • Notebooks
  • Google Colab
  • Kaggle
m1-tagger / runs
46.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
abrei's picture
abrei
Initial commit
40c042d over 3 years ago
  • Nov27_17-50-02_curie.cs.unc.edu
    Initial commit over 3 years ago
  • Nov27_18-46-25_curie.cs.unc.edu
    Initial commit over 3 years ago
  • Nov28_00-11-29_curie.cs.unc.edu
    Initial commit over 3 years ago
  • Nov28_08-59-41_curie.cs.unc.edu
    Initial commit over 3 years ago
  • .DS_Store
    8.2 kB
    Initial commit over 3 years ago