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chrlukas
/
stories-emotion-c1

Text Classification
Transformers
Safetensors
English
deberta-v2
token-classification
emotion recognition
valence
arousal
stories
fairytales
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use chrlukas/stories-emotion-c1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chrlukas/stories-emotion-c1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="chrlukas/stories-emotion-c1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("chrlukas/stories-emotion-c1")
    model = AutoModelForTokenClassification.from_pretrained("chrlukas/stories-emotion-c1")
  • Notebooks
  • Google Colab
  • Kaggle
stories-emotion-c1
1.75 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
chrlukas's picture
chrlukas
Update README.md
7746058 verified about 2 years ago
  • .gitattributes
    1.57 kB
    Upload tales_vertical.png about 2 years ago
  • README.md
    4.14 kB
    Update README.md about 2 years ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    1 kB
    Upload DebertaV2ForTokenClassification about 2 years ago
  • model.safetensors
    1.74 GB
    xet
    Upload DebertaV2ForTokenClassification about 2 years ago
  • special_tokens_map.json
    970 Bytes
    Upload tokenizer about 2 years ago
  • spm.model
    2.46 MB
    xet
    Upload tokenizer about 2 years ago
  • tales_vertical.png
    1.01 MB
    xet
    Upload tales_vertical.png about 2 years ago
  • tokenizer.json
    8.65 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.39 kB
    Upload tokenizer about 2 years ago