Instructions to use ZealPyae/linksDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZealPyae/linksDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZealPyae/linksDetection")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZealPyae/linksDetection", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4c4526a3511234b100bdd4512bf96d137c63edde8253398a728317b966cf232
- Size of remote file:
- 8.48 MB
- SHA256:
- 77caf835453c6eb55b1073faaf4d689f52b241b5a0449da90e30be257a923eae
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