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DeepSoftwareAnalytics
/
CoCoSoDa

Feature Extraction
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use DeepSoftwareAnalytics/CoCoSoDa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DeepSoftwareAnalytics/CoCoSoDa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DeepSoftwareAnalytics/CoCoSoDa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("DeepSoftwareAnalytics/CoCoSoDa")
    model = AutoModel.from_pretrained("DeepSoftwareAnalytics/CoCoSoDa")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
CoCoSoDa
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  • 1 contributor
History: 6 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
dbd15c9 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.62 kB
    add readme about 3 years ago
  • added_tokens.json
    941 Bytes
    upload the checkpoints about 3 years ago
  • config.json
    738 Bytes
    upload the checkpoints about 3 years ago
  • merges.txt
    444 kB
    upload the checkpoints about 3 years ago
  • model.safetensors
    504 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    504 MB
    xet
    upload the checkpoints about 3 years ago
  • special_tokens_map.json
    1.67 kB
    upload the checkpoints about 3 years ago
  • tokenizer_config.json
    1.13 kB
    upload the checkpoints about 3 years ago
  • vocab.json
    938 kB
    upload the checkpoints about 3 years ago