Instructions to use MatteoWood/bert-sexism-classifier-aug200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatteoWood/bert-sexism-classifier-aug200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatteoWood/bert-sexism-classifier-aug200")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MatteoWood/bert-sexism-classifier-aug200") model = AutoModelForSequenceClassification.from_pretrained("MatteoWood/bert-sexism-classifier-aug200", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
tags: - text-classification - sexism widget: - text: I love women - text: I hate women datasets: - MatteoWood/bert-sexism-classifier-aug200-dataset
Model Trained Using AutoTrain
- Problem type: Text Classification
Training parameters
- lr: 5e-05
- epochs: 5
- batch size: 8
Validation Metrics
loss: 0.35955047607421875
f1: 0.5477528089887641
precision: 0.8986175115207373
recall: 0.3939393939393939
auc: 0.8849468102956475
accuracy: 0.839
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