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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/SemevalClickbaitSpoilingNew") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/SemevalClickbaitSpoilingNew", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VSPuzzler/SemevalClickbaitSpoilingNew: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew/resolve/main/training_args.bin
- Command line
-
hf download hf://VSPuzzler/SemevalClickbaitSpoilingNew/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 9c9b44b73227119ab75c4e6067c453297fe50ec27efe824869cedabc3e8f45e8
- Size of remote file:
- 3.38 kB
- SHA256:
- baebf3b382853feb0420e7a2f05d5defe1e8998e21926fd410842e611c022574
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