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:
- 1cfc2f2f1b6920191c67b08bbf8a07a9ba10d65fe33191e72d5220be39ef464a
- Size of remote file:
- 443 MB
- SHA256:
- d3ea7c529fbbfae778bf3b56a66c173653966d582cfcfbbc66aa0735ff090499
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