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

tasksource
/
modernbert-tasksource-jev

Text Classification
Transformers
Safetensors
English
modernjev
decision-making
modernbert
classification
noul
scoring
tasksource
jev
typed-decisions
calibration
Model card Files Files and versions
xet
Community

Instructions to use tasksource/modernbert-tasksource-jev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tasksource/modernbert-tasksource-jev with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tasksource/modernbert-tasksource-jev")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("tasksource/modernbert-tasksource-jev", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
modernbert-tasksource-jev
309 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
sileod's picture
sileod
Update README.md
65ec155 verified about 15 hours ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    9.87 kB
    Update README.md about 15 hours ago
  • best_checkpoint_meta.json
    184 Bytes
    Release trained ModernBERT-JEV model with option-query cross-attention head, calibration, and documentation 2 days ago
  • config.json
    377 Bytes
    Release trained ModernBERT-JEV model with option-query cross-attention head, calibration, and documentation 2 days ago
  • model.safetensors
    305 MB
    xet
    Release trained ModernBERT-JEV model with option-query cross-attention head, calibration, and documentation 2 days ago
  • special_tokens_map.json
    694 Bytes
    Release trained ModernBERT-JEV model with option-query cross-attention head, calibration, and documentation 2 days ago
  • temperature_scaling.json
    831 Bytes
    Release trained ModernBERT-JEV model with option-query cross-attention head, calibration, and documentation 2 days ago
  • tokenizer.json
    3.58 MB
    Release trained ModernBERT-JEV model with option-query cross-attention head, calibration, and documentation 2 days ago
  • tokenizer_config.json
    20.8 kB
    Release trained ModernBERT-JEV model with option-query cross-attention head, calibration, and documentation 2 days ago