Instructions to use Hate-speech-CNERG/dehatebert-mono-polish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hate-speech-CNERG/dehatebert-mono-polish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hate-speech-CNERG/dehatebert-mono-polish")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hate-speech-CNERG/dehatebert-mono-polish") model = AutoModelForSequenceClassification.from_pretrained("Hate-speech-CNERG/dehatebert-mono-polish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f518fbf882ecd2d4ac7f8c6e3cfce10fd91e0f9b46978d0189e2b3458b4fe8b
- Size of remote file:
- 669 MB
- SHA256:
- af163dd084a51df2d8d3264960fa0331f140c232a47d0186605bee32d5d4484c
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