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PuroFuro
/
deberta-v3-emotion-multilabel

Text Classification
Transformers
Safetensors
deberta-v2
emotion
multi-label
deberta-v3
huggingface
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use PuroFuro/deberta-v3-emotion-multilabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PuroFuro/deberta-v3-emotion-multilabel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="PuroFuro/deberta-v3-emotion-multilabel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("PuroFuro/deberta-v3-emotion-multilabel")
    model = AutoModelForSequenceClassification.from_pretrained("PuroFuro/deberta-v3-emotion-multilabel")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-emotion-multilabel
749 MB
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  • 1 contributor
History: 5 commits
PuroFuro's picture
PuroFuro
Update README.md
701ff89 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    960 Bytes
    Update README.md 11 months ago
  • added_tokens.json
    26 Bytes
    uploaded the model 11 months ago
  • config.json
    1.55 kB
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  • model.safetensors
    738 MB
    xet
    uploaded the model 11 months ago
  • model_index.json
    37 Bytes
    Upload model_index.json 11 months ago
  • special_tokens_map.json
    301 Bytes
    uploaded the model 11 months ago
  • spm.model
    2.46 MB
    xet
    uploaded the model 11 months ago
  • tokenizer.json
    8.66 MB
    uploaded the model 11 months ago
  • tokenizer_config.json
    1.37 kB
    uploaded the model 11 months ago