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DSI
/
human-directed-sentiment

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use DSI/human-directed-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DSI/human-directed-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DSI/human-directed-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DSI/human-directed-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("DSI/human-directed-sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
human-directed-sentiment
653 MB
Ctrl+K
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  • 1 contributor
History: 16 commits
DSI's picture
DSI
Updating the model to the best we have in hand
d321866 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    260 Bytes
    Create README.md over 4 years ago
  • config.json
    991 Bytes
    Upload the config file of the best performing model for the hd-sentiment task over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    651 MB
    xet
    Updating the model to the best we have in hand over 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload the special_tokens_map file of the best performing model for the hd-sentiment task over 4 years ago
  • tokenizer_config.json
    343 Bytes
    Upload the config_config.json file of the best performing model for the hd-sentiment task over 4 years ago
  • vocab.txt
    1.1 MB
    Upload the vocab file of the best performing model for the hd-sentiment task over 4 years ago