Instructions to use IMSyPP/hate_speech_it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMSyPP/hate_speech_it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMSyPP/hate_speech_it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMSyPP/hate_speech_it") model = AutoModelForSequenceClassification.from_pretrained("IMSyPP/hate_speech_it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a178d359afec117ad1d37661037dd5d344677bee7ef7b02f783217185ac9e434
- Size of remote file:
- 737 MB
- SHA256:
- ae2be9cbc98f5e41b3b6f7dede1dd20564e1ca6b2a87ee156ca745dc62c22ae9
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