Instructions to use SotirisLegkas/multilingual_hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SotirisLegkas/multilingual_hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SotirisLegkas/multilingual_hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/multilingual_hate") model = AutoModelForSequenceClassification.from_pretrained("SotirisLegkas/multilingual_hate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a53836f95f154ae08bfc355685bdaeeac20b9d6ce6cc2154057024f941c2933f
- Size of remote file:
- 16.3 MB
- SHA256:
- 29d9f9ca90294acaf3282f58d59cbbca175d4a8c891fbe8f2244fff26d642663
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