Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

nglebm19
/
EmoraBert

Text Classification
Transformers
google-tensorflow TensorFlow
roberta
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use nglebm19/EmoraBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nglebm19/EmoraBert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nglebm19/EmoraBert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nglebm19/EmoraBert")
    model = AutoModelForSequenceClassification.from_pretrained("nglebm19/EmoraBert")
  • Notebooks
  • Google Colab
  • Kaggle
EmoraBert
542 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
nglebm19's picture
nglebm19
Training in progress epoch 0
fefb915 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.79 kB
    Training in progress epoch 0 over 2 years ago
  • added_tokens.json
    75 Bytes
    Training in progress epoch 0 over 2 years ago
  • bpe.codes
    1.14 MB
    Training in progress epoch 0 over 2 years ago
  • config.json
    997 Bytes
    Training in progress epoch 0 over 2 years ago
  • special_tokens_map.json
    167 Bytes
    Training in progress epoch 0 over 2 years ago
  • tf_model.h5
    540 MB
    xet
    Training in progress epoch 0 over 2 years ago
  • tokenizer_config.json
    1.21 kB
    Training in progress epoch 0 over 2 years ago
  • vocab.txt
    895 kB
    Training in progress epoch 0 over 2 years ago