Instructions to use privacy-tech-lab/RegionModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use privacy-tech-lab/RegionModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="privacy-tech-lab/RegionModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("privacy-tech-lab/RegionModel") model = AutoModelForSequenceClassification.from_pretrained("privacy-tech-lab/RegionModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b5431bbb5bf8baee4c04834c44c3d132ac236c086ea7a78bbe60b074b54bd4f
- Size of remote file:
- 57.4 MB
- SHA256:
- 4690b5ae6736e843b336a96cc79ea394095becef90d8c37a953a6bdf74a02892
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