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Mitchins
/
bertmoji-deberta-v3-small

Text Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
emoji
sentiment
deberta
deberta-v3
emoji-prediction
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Mitchins/bertmoji-deberta-v3-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mitchins/bertmoji-deberta-v3-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Mitchins/bertmoji-deberta-v3-small")
    # Load model directly
    from transformers import AutoTokenizer, BertmojiClassifier
    
    tokenizer = AutoTokenizer.from_pretrained("Mitchins/bertmoji-deberta-v3-small")
    model = BertmojiClassifier.from_pretrained("Mitchins/bertmoji-deberta-v3-small")
  • Notebooks
  • Google Colab
  • Kaggle
bertmoji-deberta-v3-small
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  • 1 contributor
History: 2 commits
Mitchins's picture
Mitchins
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93f0411 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.05 kB
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  • added_tokens.json
    23 Bytes
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  • config.json
    14.9 kB
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  • emoji_mappings.json
    8.9 kB
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  • labels.txt
    1.29 kB
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  • model.safetensors
    568 MB
    xet
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    568 MB
    xet
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  • special_tokens_map.json
    286 Bytes
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  • spm.model
    2.46 MB
    xet
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  • tokenizer.json
    8.66 MB
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  • tokenizer_config.json
    1.32 kB
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