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datalearningpr
/
name_to_gender

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

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

  • Libraries
  • Transformers

    How to use datalearningpr/name_to_gender with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="datalearningpr/name_to_gender")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("datalearningpr/name_to_gender")
    model = AutoModelForSequenceClassification.from_pretrained("datalearningpr/name_to_gender")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Help! Can you supply a training set?

👍 1
#3 opened over 2 years ago by
daviddkly

Librarian Bot: Add base_model information to model

#2 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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