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chitanda
/
merit-deberta-v2-xxlarge-v1

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

Instructions to use chitanda/merit-deberta-v2-xxlarge-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chitanda/merit-deberta-v2-xxlarge-v1 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, DebertaV2ForMultipleChoicePreTrain
    
    tokenizer = AutoTokenizer.from_pretrained("chitanda/merit-deberta-v2-xxlarge-v1")
    model = DebertaV2ForMultipleChoicePreTrain.from_pretrained("chitanda/merit-deberta-v2-xxlarge-v1")
  • Notebooks
  • Google Colab
  • Kaggle
merit-deberta-v2-xxlarge-v1
3.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
chitanda's picture
chitanda
upload fp16 models
30f7a38 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    24 Bytes
    Update README.md over 4 years ago
  • added_tokens.json
    18 Bytes
    upload fp16 models over 4 years ago
  • config.json
    1.06 kB
    upload fp16 models over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    3.54 GB
    xet
    upload fp16 models over 4 years ago
  • special_tokens_map.json
    156 Bytes
    upload fp16 models over 4 years ago
  • spm.model
    2.45 MB
    xet
    upload fp16 models over 4 years ago
  • tokenizer_config.json
    403 Bytes
    upload fp16 models over 4 years ago
  • training_config.yaml
    2.38 kB
    upload fp16 models over 4 years ago