Instructions to use wu981526092/bias_classifier_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wu981526092/bias_classifier_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wu981526092/bias_classifier_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wu981526092/bias_classifier_roberta") model = AutoModelForSequenceClassification.from_pretrained("wu981526092/bias_classifier_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 704b86390f09752eb48f3d78c4cccc56caf42cf620187a151427ee399bd5a194
- Size of remote file:
- 997 MB
- SHA256:
- 314a8458f8e62a378c20114cfec012d2720667ca523420b15601c1be471d9651
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