Instructions to use MuhammadSaadMehboob/cyberbully-flaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuhammadSaadMehboob/cyberbully-flaming with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MuhammadSaadMehboob/cyberbully-flaming")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MuhammadSaadMehboob/cyberbully-flaming") model = AutoModelForSequenceClassification.from_pretrained("MuhammadSaadMehboob/cyberbully-flaming", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f69288a2130aa4f62f3f9433e39a1b4799d01c337ba16e4a29fd8666cf1712b
- Size of remote file:
- 5.18 kB
- SHA256:
- b3b5594e0e9f104ba02bcbe61ebd1f98e8734a3644ed8fe190884525e1156dc8
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