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kamalkraj
/
deberta-base

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

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

  • Libraries
  • Transformers

    How to use kamalkraj/deberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="kamalkraj/deberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("kamalkraj/deberta-base")
    model = AutoModel.from_pretrained("kamalkraj/deberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-base
560 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
kamalkraj's picture
kamalkraj
LayerNormLayer changed to default tf.keras.layer
e6f7f72 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    1.29 kB
    base model almost 5 years ago
  • bpe_encoder.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    3.92 MB
    xet
    base model almost 5 years ago
  • config.json
    744 Bytes
    model layer name fixed almost 5 years ago
  • merges.txt
    456 kB
    base model almost 5 years ago
  • tf_model.h5
    555 MB
    xet
    LayerNormLayer changed to default tf.keras.layer almost 5 years ago
  • tokenizer_config.json
    52 Bytes
    base model almost 5 years ago
  • vocab.json
    899 kB
    base model almost 5 years ago