Text Classification
Transformers
Safetensors
English
deberta-v2
gender
gender-prediction
deberta
Eval Results (legacy)
Instructions to use fc63/gender_prediction_model_from_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fc63/gender_prediction_model_from_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fc63/gender_prediction_model_from_text")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fc63/gender_prediction_model_from_text") model = AutoModelForSequenceClassification.from_pretrained("fc63/gender_prediction_model_from_text") - Notebooks
- Google Colab
- Kaggle
Ctrl+K