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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58722efc7c8915622d2500a7b0d7a7c10bc20e8f19e302a7d4ee449062b3618a
- Size of remote file:
- 443 MB
- SHA256:
- 4c9849f22d2f786322c2bc683e4a42ecf9cfc9961fc7c5b86238484240025fe4
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