Instructions to use Andrazp/multilingual-hate-speech-robacofi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrazp/multilingual-hate-speech-robacofi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Andrazp/multilingual-hate-speech-robacofi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Andrazp/multilingual-hate-speech-robacofi") model = AutoModelForSequenceClassification.from_pretrained("Andrazp/multilingual-hate-speech-robacofi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding acknowledgment to the SOVRAG project
Browse files
README.md
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## Acknowledgments
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The RobaCOFI project has indirectly
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received funding from the European Union’s Horizon 2020 research and innovation
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action programme, via the AI4Media Open Call #1 issued and executed under the
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AI4Media project (Grant Agreement no. 951911).
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## Acknowledgments
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The authors acknowledge the financial support from the RobaCOFI project, which has indirectly received funding from the European Union’s Horizon 2020 research and innovation action programme via the AI4Media Open Call #1 issued and executed under the AI4Media project (Grant Agreement no. 951911), and from from the Slovenian Research Agency for the the project Hate speech in contemporary conceptualizations of nationalism, racism, gender and migration (J5-3102).
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