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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88ab93e04e3b89e235b1de18d7c22978acdd78ea985a5768c2cfcbeada387234
- Size of remote file:
- 57.4 MB
- SHA256:
- b3a6d4301c2634616d708b4bd055a505f303faad6a7311c6bdb1a913a6c4bbec
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