Instructions to use caush/Clickbait4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caush/Clickbait4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="caush/Clickbait4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("caush/Clickbait4") model = AutoModelForSequenceClassification.from_pretrained("caush/Clickbait4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66da510bf2261716f881cbee3bb23bc897509175588e20f358f8b2ed17a2d6c7
- Size of remote file:
- 471 MB
- SHA256:
- e4d67d9d0821983008b250b255485a9870754e54e896c54dc4f6cad66f8bf798
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