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adityapatkar
/
WASSA_EMO

Text Classification
Transformers
google-tensorflow TensorFlow
English
roberta
emotion
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use adityapatkar/WASSA_EMO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="adityapatkar/WASSA_EMO")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("adityapatkar/WASSA_EMO")
    model = AutoModelForSequenceClassification.from_pretrained("adityapatkar/WASSA_EMO")
  • Notebooks
  • Google Colab
  • Kaggle
WASSA_EMO
1.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
adityapatkar's picture
adityapatkar
Upload tokenizer
44c3fde about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    38 Bytes
    Created model card about 3 years ago
  • config.json
    1 kB
    Upload TFRobertaForSequenceClassification about 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer about 3 years ago
  • tf_model.h5
    1.42 GB
    xet
    Upload TFRobertaForSequenceClassification about 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    351 Bytes
    Upload tokenizer about 3 years ago
  • vocab.json
    798 kB
    Upload tokenizer about 3 years ago