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Showroom
/
gender_classifier

Text Classification
Transformers
PyTorch
Safetensors
English
bert
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Showroom/gender_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Showroom/gender_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Showroom/gender_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Showroom/gender_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
gender_classifier
2.68 GB
Ctrl+K
Ctrl+K
History: 2 commits
system's picture
system HF Staff
Commit From AutoTrain
d98d9ca almost 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain almost 3 years ago
  • README.md
    1.27 kB
    Commit From AutoTrain almost 3 years ago
  • config.json
    1.01 kB
    Commit From AutoTrain almost 3 years ago
  • model.safetensors
    1.34 GB
    xet
    Commit From AutoTrain almost 3 years ago
  • pytorch_model.bin
    1.34 GB
    xet
    Commit From AutoTrain almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Commit From AutoTrain almost 3 years ago
  • tokenizer.json
    712 kB
    xet
    Commit From AutoTrain almost 3 years ago
  • tokenizer_config.json
    314 Bytes
    Commit From AutoTrain almost 3 years ago
  • vocab.txt
    232 kB
    Commit From AutoTrain almost 3 years ago