Instructions to use Abderrahim2/bert-finetuned-gender_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abderrahim2/bert-finetuned-gender_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Abderrahim2/bert-finetuned-gender_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Abderrahim2/bert-finetuned-gender_classification") model = AutoModelForSequenceClassification.from_pretrained("Abderrahim2/bert-finetuned-gender_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75ce4bdf6277c5aaddd037d4a4d1ede41085ce17a72c1b185be1d28ca4457ad9
- Size of remote file:
- 438 MB
- SHA256:
- 8847e832d8f940620e333e8192450e8ceeb8fd135030b12eb4674c17da67d314
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