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 optimizer.pt from VSPuzzler/SemevalClickbaitSpoilingNew: direct link, hf CLI and curl.
- Browser
- Download file 536 MB
-
https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://VSPuzzler/SemevalClickbaitSpoilingNew@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/VSPuzzler/SemevalClickbaitSpoilingNew/resolve/refs%2Fpr%2F1/optimizer.pt
536 MB
- Xet hash:
- 9f126b76d2d523761df93cbe3c262159ddfdfbf4e90efa01854f54c993cce1a2
- Size of remote file:
- 536 MB
- SHA256:
- ab1197d12a90025fd234d66a5889a9f66fc50238fad434021bcce3243ff6c60b
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