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lkonle
/
EMO_Anger_gbert

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use lkonle/EMO_Anger_gbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lkonle/EMO_Anger_gbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("lkonle/EMO_Anger_gbert")
    model = AutoModelForSequenceClassification.from_pretrained("lkonle/EMO_Anger_gbert")
  • Notebooks
  • Google Colab
  • Kaggle
EMO_Anger_gbert
672 MB
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  • 1 contributor
History: 4 commits
lkonle's picture
lkonle
Upload tokenizer
202e2a9 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    1.26 kB
    Create README.md 11 months ago
  • config.json
    604 Bytes
    Upload BertForSequenceClassification 11 months ago
  • model.safetensors
    672 MB
    xet
    Upload BertForSequenceClassification 11 months ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 11 months ago
  • tokenizer.json
    729 kB
    Upload tokenizer 11 months ago
  • tokenizer_config.json
    1.29 kB
    Upload tokenizer 11 months ago
  • vocab.txt
    240 kB
    Upload tokenizer 11 months ago