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scales-okn
/
ontology-arbitration-motion

Text Classification
Transformers
PyTorch
TensorBoard
deberta-v2
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use scales-okn/ontology-arbitration-motion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use scales-okn/ontology-arbitration-motion with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="scales-okn/ontology-arbitration-motion")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("scales-okn/ontology-arbitration-motion")
    model = AutoModelForSequenceClassification.from_pretrained("scales-okn/ontology-arbitration-motion", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ontology-arbitration-motion / runs
95.6 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
nadahlberg's picture
nadahlberg
Model save
a40fbee about 4 years ago
  • Jul05_18-39-14_delilah
    Model save about 4 years ago
  • Jul10_20-43-19_delilah
    Model save about 4 years ago
  • Jun09_02-26-18_delilah
    Model save over 4 years ago
  • Jun13_15-08-53_delilah
    Model save over 4 years ago