Instructions to use Jhonatan51998/bias_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jhonatan51998/bias_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jhonatan51998/bias_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jhonatan51998/bias_model") model = AutoModelForSequenceClassification.from_pretrained("Jhonatan51998/bias_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (8cc668c3143da3a087a315a344e264aae40cd7c7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>5ddcc52
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Update config.json
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Update config.json
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Update config.json
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Upload BertForSequenceClassification
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initial commit
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