Instructions to use Hate-speech-CNERG/dehatebert-mono-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hate-speech-CNERG/dehatebert-mono-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hate-speech-CNERG/dehatebert-mono-german")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hate-speech-CNERG/dehatebert-mono-german") model = AutoModelForSequenceClassification.from_pretrained("Hate-speech-CNERG/dehatebert-mono-german") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e389f241aae402ca8ee4fc4fb9cefc1d310efea62d45cac8d228718d465b2536
- Size of remote file:
- 669 MB
- SHA256:
- 5c50005388db30296bc79e95472b880ea433b705c8589fefe9312f2167e8dc72
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