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hieule
/
deberta-vie-conv

Fill-Mask
Transformers
PyTorch
deberta-v2
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use hieule/deberta-vie-conv with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="hieule/deberta-vie-conv")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("hieule/deberta-vie-conv")
    model = AutoModelForMaskedLM.from_pretrained("hieule/deberta-vie-conv")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-vie-conv
303 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
hieule's picture
hieule
deberta and replace linear with conv depth wise
11a40e3 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • config.json
    806 Bytes
    deberta and replace linear with conv depth wise over 3 years ago
  • deberta_train.log
    514 Bytes
    deberta and replace linear with conv depth wise over 3 years ago
  • dict.txt
    360 kB
    deberta and replace linear with conv depth wise over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    297 MB
    xet
    deberta and replace linear with conv depth wise over 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    deberta and replace linear with conv depth wise over 3 years ago
  • special_tokens_map.json
    279 Bytes
    deberta and replace linear with conv depth wise over 3 years ago
  • tokenizer_config.json
    489 Bytes
    deberta and replace linear with conv depth wise over 3 years ago