Instructions to use VSPuzzler/SemEval2025FinalModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VSPuzzler/SemEval2025FinalModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VSPuzzler/SemEval2025FinalModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/SemEval2025FinalModel") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/SemEval2025FinalModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63ef7fe891ad2332a5a5935ea39325a210e08fd441f55561088de6400e414e0c
- Size of remote file:
- 438 MB
- SHA256:
- 4b0318aee790a423411e13ff413f5456672ca3afdeebe74fa2139528e5f4b3b3
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