Instructions to use SotirisLegkas/multilingual_hate_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SotirisLegkas/multilingual_hate_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SotirisLegkas/multilingual_hate_final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/multilingual_hate_final") model = AutoModelForSequenceClassification.from_pretrained("SotirisLegkas/multilingual_hate_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c02a8ef37b2d2b75c8d126fd0b99b73e5ebf36bc29984af8a016058a9d9af2d6
- Size of remote file:
- 17.1 MB
- SHA256:
- 62bf674b1c395bed20f40d50c04a2b4de2478fe605f07bc768335299bc8161e1
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