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MarcelM
/
CSEBERT-Emotion-Detection

Text Classification
Transformers
Safetensors
Slovenian
English
Croatian
bert
emotion-recognition
multi-label-classification
slovene
ekman
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use MarcelM/CSEBERT-Emotion-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MarcelM/CSEBERT-Emotion-Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MarcelM/CSEBERT-Emotion-Detection")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MarcelM/CSEBERT-Emotion-Detection")
    model = AutoModelForSequenceClassification.from_pretrained("MarcelM/CSEBERT-Emotion-Detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CSEBERT-Emotion-Detection
498 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
MarcelM's picture
MarcelM
Upload 6 files
aeeeb26 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    3.88 kB
    Update README.md about 1 month ago
  • config.json
    1.12 kB
    Upload 6 files about 1 month ago
  • model.safetensors
    497 MB
    xet
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  • special_tokens_map.json
    125 Bytes
    Upload 6 files about 1 month ago
  • tokenizer.json
    1.11 MB
    Upload 6 files about 1 month ago
  • tokenizer_config.json
    428 Bytes
    Upload 6 files about 1 month ago
  • vocab.txt
    329 kB
    Upload 6 files about 1 month ago