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simonschoe
/
TransformationTransformer

Text Classification
Transformers
PyTorch
Safetensors
English
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use simonschoe/TransformationTransformer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="simonschoe/TransformationTransformer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("simonschoe/TransformationTransformer")
    model = AutoModelForSequenceClassification.from_pretrained("simonschoe/TransformationTransformer")
  • Notebooks
  • Google Colab
  • Kaggle
TransformationTransformer
Ctrl+K
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  • 2 contributors
History: 4 commits
simonschoe's picture
simonschoe
Create README.md
af24f2b about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    224 Bytes
    Create README.md about 4 years ago
  • config.json
    751 Bytes
    add model about 4 years ago
  • merges.txt
    456 kB
    add tokenizer about 4 years ago
  • pytorch_model.bin
    329 MB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    2.11 MB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    355 Bytes
    add tokenizer about 4 years ago
  • vocab.json
    798 kB
    add tokenizer about 4 years ago