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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

roscazo
/
ner_ANAT_DISO

Token Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use roscazo/ner_ANAT_DISO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="roscazo/ner_ANAT_DISO")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("roscazo/ner_ANAT_DISO")
    model = AutoModelForTokenClassification.from_pretrained("roscazo/ner_ANAT_DISO")
  • Notebooks
  • Google Colab
  • Kaggle
ner_ANAT_DISO / runs
16.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
roscazo's picture
roscazo
Training complete
d1d94a0 over 3 years ago
  • Jan05_09-33-35_6d3e2691b490
    Training complete over 3 years ago