Text Classification
Transformers
Safetensors
English
deberta-v2
gender
gender-prediction
deberta
Eval Results (legacy)
Instructions to use ariyul/gender_prediction_model_from_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ariyul/gender_prediction_model_from_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ariyul/gender_prediction_model_from_text")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ariyul/gender_prediction_model_from_text") model = AutoModelForSequenceClassification.from_pretrained("ariyul/gender_prediction_model_from_text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d30b5b4d1d6a9d0cae8ccd88b4b1af3f699e84f9a3651e7bed90b9a64440367
- Size of remote file:
- 5.24 kB
- SHA256:
- 7cf952af4b9c2e87e7a003adf10c6dcc431237a921058e426249ffac668b53de
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