Instructions to use Hate-speech-CNERG/dehatebert-mono-indonesian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hate-speech-CNERG/dehatebert-mono-indonesian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hate-speech-CNERG/dehatebert-mono-indonesian")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hate-speech-CNERG/dehatebert-mono-indonesian") model = AutoModelForSequenceClassification.from_pretrained("Hate-speech-CNERG/dehatebert-mono-indonesian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c1729bb4450782c0dd36c6d67a6f7ddf2df8fb1396e780fed5818305b495002
- Size of remote file:
- 669 MB
- SHA256:
- c084bc74c6a803f3a6f9181d5cfebdf4f9d954cbd0b0684210a4387b99c53b5e
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