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texonom
/
mbti-classification-roberta-base

Text Classification
Transformers
ONNX
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use texonom/mbti-classification-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use texonom/mbti-classification-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="texonom/mbti-classification-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("texonom/mbti-classification-roberta-base")
    model = AutoModelForSequenceClassification.from_pretrained("texonom/mbti-classification-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
mbti-classification-roberta-base / onnx
625 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
seonglae's picture
seonglae
Upload folder using huggingface_hub
d8d2bd0 over 2 years ago
  • model.onnx
    499 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • model_quantized.onnx
    126 MB
    xet
    Upload folder using huggingface_hub over 2 years ago