Instructions to use VSPuzzler/SemevalClickbaitSpoilingNew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VSPuzzler/SemevalClickbaitSpoilingNew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VSPuzzler/SemevalClickbaitSpoilingNew")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/SemevalClickbaitSpoilingNew") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/SemevalClickbaitSpoilingNew") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ce3c6796006e28208eef5944b16139805eef216e41369cd1b043916f8303392
- Size of remote file:
- 14.5 kB
- SHA256:
- f95227265e995dfc259b58c87461d534728d8071eae99155ac7f7b6ee69e0c1d
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