Instructions to use mox/gbert_base_offensive_language_politicians with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mox/gbert_base_offensive_language_politicians with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mox/gbert_base_offensive_language_politicians")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mox/gbert_base_offensive_language_politicians") model = AutoModelForSequenceClassification.from_pretrained("mox/gbert_base_offensive_language_politicians") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10c333e21f477169fb5da0ae215d397e708a7844f56765a3e8aa4a538c71064f
- Size of remote file:
- 440 MB
- SHA256:
- d2d5a21e63aed70ec676b242918ea78d11847e12005e6118831406e9bca03ea2
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