Instructions to use privacy-tech-lab/RegionBaseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use privacy-tech-lab/RegionBaseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="privacy-tech-lab/RegionBaseModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("privacy-tech-lab/RegionBaseModel") model = AutoModelForSequenceClassification.from_pretrained("privacy-tech-lab/RegionBaseModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1634cbf9919f994c0a446628cef2cd1023dbc060d54c0ad99c87a53ec1c96daa
- Size of remote file:
- 438 MB
- SHA256:
- f3155a60dbd089b39e7a61de8ba3d927f3e51542830196127433b7f7ff709a07
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