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boltuix
/
bert-emotion

Text Classification
Transformers
Safetensors
English
bert
emotion
classification
emojis
emotions
v1.0
sentiment-analysis
nlp
lightweight
chatbot
social-media
mental-health
short-text
emotion-detection
real-time
expressive
ai
machine-learning
english
inference
edge-ai
smart-replies
tone-analysis
Model card Files Files and versions
xet
Community

Instructions to use boltuix/bert-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use boltuix/bert-emotion with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="boltuix/bert-emotion")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("boltuix/bert-emotion")
    model = AutoModelForSequenceClassification.from_pretrained("boltuix/bert-emotion")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-emotion
45 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 41 commits
boltuix's picture
boltuix
Update README.md
a12a279 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    22.4 kB
    Update README.md 10 months ago
  • config.json
    1.2 kB
    Update config.json 12 months ago
  • model.safetensors
    44.7 MB
    xet
    Upload 5 files about 1 year ago
  • special_tokens_map.json
    132 Bytes
    Upload 5 files about 1 year ago
  • tokenizer_config.json
    1.36 kB
    Upload 5 files about 1 year ago
  • vocab.txt
    262 kB
    Upload 5 files about 1 year ago