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:
- 30c90046bc967feb34b58a913f4350e327973dd3f5d68d2cefb3c1314bfb75fe
- Size of remote file:
- 3.25 kB
- SHA256:
- 2471bd349e6efe5e7b6bf0fb976c14fd9a7d2ba6b7ba8ffcf12ab35d274c674a
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