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com-kotobalabs
/
open-jev-deberta-v3-large

Text Classification
Transformers
Safetensors
English
deberta-v2
feature-extraction
typed-decisions
calibrated
decision-model
open-jev
deberta-v3
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use com-kotobalabs/open-jev-deberta-v3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use com-kotobalabs/open-jev-deberta-v3-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="com-kotobalabs/open-jev-deberta-v3-large")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("com-kotobalabs/open-jev-deberta-v3-large")
    model = AutoModel.from_pretrained("com-kotobalabs/open-jev-deberta-v3-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
open-jev-deberta-v3-large / typed_decisions
17.6 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
com-junkawasaki's picture
com-junkawasaki
open-jev-deberta-v3-large: Jev-shaped typed-decision model (in-domain 0.854, OOD 0.690), bundle + loader + card
19bf9a6 verified 20 days ago
  • __init__.py
    0 Bytes
    open-jev-deberta-v3-large: Jev-shaped typed-decision model (in-domain 0.854, OOD 0.690), bundle + loader + card 20 days ago
  • encoder.py
    9.91 kB
    open-jev-deberta-v3-large: Jev-shaped typed-decision model (in-domain 0.854, OOD 0.690), bundle + loader + card 20 days ago
  • open_jev.py
    4.38 kB
    open-jev-deberta-v3-large: Jev-shaped typed-decision model (in-domain 0.854, OOD 0.690), bundle + loader + card 20 days ago
  • schema.py
    3.27 kB
    open-jev-deberta-v3-large: Jev-shaped typed-decision model (in-domain 0.854, OOD 0.690), bundle + loader + card 20 days ago