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breadlicker45
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multilingual-bert-gender-classification

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="breadlicker45/multilingual-bert-gender-classification")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("breadlicker45/multilingual-bert-gender-classification")
model = AutoModelForSequenceClassification.from_pretrained("breadlicker45/multilingual-bert-gender-classification")
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fine-tuning details:

  • batch size: 64
  • steps (including warm up steps): 5000
  • warm up steps: 500
  • GPU used: An Nvidia 5090
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