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lunahr
/
emotispace-128

Text Classification
Transformers
Safetensors
English
bert
fill-mask
emotions
embeddings
goemotions
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use lunahr/emotispace-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lunahr/emotispace-128 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lunahr/emotispace-128", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("lunahr/emotispace-128", trust_remote_code=True)
    model = AutoModelForMaskedLM.from_pretrained("lunahr/emotispace-128", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
emotispace-128
Ctrl+K
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  • 1 contributor
History: 5 commits
lunahr's picture
lunahr
format the code properly
34c72d6 verified 18 days ago
  • .gitattributes
    1.52 kB
    initial commit 22 days ago
  • README.md
    5.85 kB
    format the code properly 18 days ago
  • config.json
    1.45 kB
    Add files using upload-large-folder tool 22 days ago
  • configuration_emotispace.py
    600 Bytes
    Add files using upload-large-folder tool 22 days ago
  • model.safetensors
    439 MB
    xet
    Add files using upload-large-folder tool 22 days ago
  • modeling_emotispace.py
    1.56 kB
    Add files using upload-large-folder tool 22 days ago
  • tokenizer.json
    711 kB
    Add files using upload-large-folder tool 22 days ago
  • tokenizer_config.json
    322 Bytes
    Add files using upload-large-folder tool 22 days ago
  • vocab.txt
    232 kB
    Add files using upload-large-folder tool 22 days ago