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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c52d913846f707f37c23bf76a857ad0a7023b1f9e186e4d3caab7a52dd98e7e6
- Size of remote file:
- 737 MB
- SHA256:
- ab6f6edeb171af5a79b2eb016727b6434bd2d03ccbba122a09ee0fb489c22d8c
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