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kamalkraj
/
deberta-v2-xlarge

Feature Extraction
Transformers
google-tensorflow TensorFlow
English
deberta-v2
Model card Files Files and versions
xet
Community

Instructions to use kamalkraj/deberta-v2-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kamalkraj/deberta-v2-xlarge with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="kamalkraj/deberta-v2-xlarge")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("kamalkraj/deberta-v2-xlarge")
    model = AutoModel.from_pretrained("kamalkraj/deberta-v2-xlarge")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v2-xlarge
3.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
kamalkraj's picture
kamalkraj
added tf model
ee3a2dc almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    3.9 kB
    added tf model almost 5 years ago
  • config.json
    867 Bytes
    added tf model almost 5 years ago
  • spm.model
    2.45 MB
    xet
    added tf model almost 5 years ago
  • tf_model.h5
    3.54 GB
    xet
    added tf model almost 5 years ago
  • tokenizer_config.json
    52 Bytes
    added tf model almost 5 years ago