Instructions to use Guscode/DKbert-hatespeech-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Guscode/DKbert-hatespeech-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Guscode/DKbert-hatespeech-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Guscode/DKbert-hatespeech-detection") model = AutoModelForSequenceClassification.from_pretrained("Guscode/DKbert-hatespeech-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42e1e77817c067783f5fe25d99657527ae81cd7d969c2e42b7f0f5af3fce919c
- Size of remote file:
- 3.12 kB
- SHA256:
- 00d6b11cd8540a3485832bedf62fdbe63b9d14aa7404bfefd81f8feefb1559f4
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