Instructions to use KAlex13/news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KAlex13/news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KAlex13/news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KAlex13/news") model = AutoModelForSequenceClassification.from_pretrained("KAlex13/news") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08a52f53af5960cba241715f62c8df10e03fc6fe45b9cd3525260ed1eabb2e12
- Size of remote file:
- 409 MB
- SHA256:
- 958e23e661598700e43fd833f6a77dff3d011861c6b3a305ed7f079bc343bd7a
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