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WaiLwin
/
jun

Transformers
Safetensors
distilbert
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use WaiLwin/jun with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, DistilBertForMultiHeadClassification
    
    tokenizer = AutoTokenizer.from_pretrained("WaiLwin/jun")
    model = DistilBertForMultiHeadClassification.from_pretrained("WaiLwin/jun")
  • Notebooks
  • Google Colab
  • Kaggle
jun
268 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
WaiLwin's picture
WaiLwin
Model save
7b43de7 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    3.26 kB
    Model save 9 months ago
  • config.json
    515 Bytes
    Model save 9 months ago
  • model.safetensors
    268 MB
    xet
    Model save 9 months ago
  • service_encoder.pkl
    296 Bytes
    xet
    End of training 9 months ago
  • special_tokens_map.json
    125 Bytes
    End of training 9 months ago
  • tokenizer_config.json
    1.28 kB
    End of training 9 months ago
  • topology_encoder.pkl
    393 Bytes
    xet
    End of training 9 months ago
  • training_args.bin
    5.78 kB
    xet
    Model save 9 months ago
  • vocab.txt
    232 kB
    End of training 9 months ago