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GliteTech
/
DisamBertCrossEncoder-base

Feature Extraction
Transformers
Safetensors
English
modernbert
Generated from Trainer
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use GliteTech/DisamBertCrossEncoder-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GliteTech/DisamBertCrossEncoder-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="GliteTech/DisamBertCrossEncoder-base", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("GliteTech/DisamBertCrossEncoder-base", trust_remote_code=True)
    model = AutoModel.from_pretrained("GliteTech/DisamBertCrossEncoder-base", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
DisamBertCrossEncoder-base
600 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
PeteBleackley's picture
PeteBleackley
End of training
3609883 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • DisamBertCrossEncoder.py
    4.11 kB
    End of training about 2 months ago
  • DisamBertSingleSense.py
    5.74 kB
    End of training 3 months ago
  • README.md
    3.05 kB
    End of training about 2 months ago
  • config.json
    2.09 kB
    End of training about 2 months ago
  • model.safetensors
    596 MB
    xet
    End of training about 2 months ago
  • modeling_deberta_v2.py
    55.7 kB
    End of training about 2 months ago
  • tokenizer.json
    3.58 MB
    End of training about 2 months ago
  • tokenizer_config.json
    351 Bytes
    End of training about 2 months ago
  • training_args.bin
    5.27 kB
    xet
    End of training about 2 months ago