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anggars
/
xlm-mbti

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
mbti
midwest-emo
math-rock
personality-detection
domain-adaptation
hybrid-corpus
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use anggars/xlm-mbti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anggars/xlm-mbti with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="anggars/xlm-mbti")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("anggars/xlm-mbti")
    model = AutoModelForSequenceClassification.from_pretrained("anggars/xlm-mbti", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-mbti
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
anggars's picture
anggars
Update README.md
8fe4adc verified 3 months ago
  • .gitattributes
    1.57 kB
    Training in progress, epoch 1 9 months ago
  • README.md
    3.65 kB
    Update README.md 3 months ago
  • config.json
    1.38 kB
    Upload XLMRobertaForSequenceClassification 3 months ago
  • model.safetensors
    1.11 GB
    xet
    Upload XLMRobertaForSequenceClassification 3 months ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    343 Bytes
    Upload tokenizer 3 months ago
  • training_args.bin
    5.2 kB
    xet
    Training in progress, epoch 1 9 months ago