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 rng_state.pth from VSPuzzler/SemevalClickbaitSpoilingNew: direct link, hf CLI and curl.
- Browser
- Download file 14.5 kB
-
https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew/resolve/main/rng_state.pth
- Command line
-
hf download hf://VSPuzzler/SemevalClickbaitSpoilingNew/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew/resolve/main/rng_state.pth
14.5 kB
- Xet hash:
- 9ce3c6796006e28208eef5944b16139805eef216e41369cd1b043916f8303392
- Size of remote file:
- 14.5 kB
- SHA256:
- f95227265e995dfc259b58c87461d534728d8071eae99155ac7f7b6ee69e0c1d
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