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 scheduler.pt from VSPuzzler/SemevalClickbaitSpoilingNew: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew/resolve/main/scheduler.pt
- Command line
-
hf download hf://VSPuzzler/SemevalClickbaitSpoilingNew/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew/resolve/main/scheduler.pt
623 Bytes
- Xet hash:
- 7ee63967fd96c783dd570c979fd812f99a06633c1e4fafb9946f621e7ddd7103
- Size of remote file:
- 623 Bytes
- SHA256:
- 65580af7c9779932b2720e89a7f2f04027fc4dde0aec900b7eb7585247a6d196
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