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:
- 36d3f04a5345ea1264e5c82e8d8c09aa7486086a9737f25b514a4e63b20160cb
- Size of remote file:
- 3.12 kB
- SHA256:
- fba41c95ca1120ea5935f322521701fec55f4405c67b01172eed52f8bfc7d3f4
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