Instructions to use nahiar/hate-speech-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nahiar/hate-speech-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nahiar/hate-speech-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nahiar/hate-speech-analysis") model = AutoModelForSequenceClassification.from_pretrained("nahiar/hate-speech-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52d6513fcb38e5b4aea0c1e73e56c676e912f0cea0840b68d90d0238389dcd92
- Size of remote file:
- 5.78 kB
- SHA256:
- 3e53a5c664e8750d796839b8716817487b57d99eba5d850acd86370337413176
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