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s-nlp
/
mdistilbert-base-formality-ranker

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

Instructions to use s-nlp/mdistilbert-base-formality-ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use s-nlp/mdistilbert-base-formality-ranker with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="s-nlp/mdistilbert-base-formality-ranker")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("s-nlp/mdistilbert-base-formality-ranker")
    model = AutoModelForSequenceClassification.from_pretrained("s-nlp/mdistilbert-base-formality-ranker", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mdistilbert-base-formality-ranker
1.09 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
dardem's picture
dardem
Update README.md
d85dedb verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    3.84 kB
    Update README.md almost 2 years ago
  • config.json
    650 Bytes
    Upload 7 files almost 3 years ago
  • model.safetensors
    541 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    541 MB
    xet
    Upload 7 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 7 files almost 3 years ago
  • tokenizer.json
    2.92 MB
    Upload 7 files almost 3 years ago
  • tokenizer_config.json
    321 Bytes
    Upload 7 files almost 3 years ago
  • training_args.bin
    3.71 kB
    xet
    Upload 7 files almost 3 years ago
  • vocab.txt
    996 kB
    Upload 7 files almost 3 years ago