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:
- 3730d0bba22612ef3687656a51896ab1b959369fe87ede77b7eda37d32f4ed7e
- Size of remote file:
- 3.45 kB
- SHA256:
- 459b59d9d811957f0366a82c6a5f730eb0f1b955b11b1487e4a01c3a4cd3cd54
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