Instructions to use ayaenna/Gender_Prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayaenna/Gender_Prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayaenna/Gender_Prediction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayaenna/Gender_Prediction") model = AutoModelForSequenceClassification.from_pretrained("ayaenna/Gender_Prediction") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c2997da9bf41fb07b0d8a3fb22a21391b2007beb4f746a4479b2a54423c229f
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size 433270768
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