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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| widget: | |
| - text: "'{\"ip_address\":\"45.8.223.197\",\"country_name\":\"Japan\",\"country_iso_code\":\"JP\",\"state\":\"<TARGET_REGION>\",\"state_iso_code\":\"27\",\"city\":\"Osaka\",\"city_id\":1853909,\"city_confidence\":-1,\"postal_code\":\"543-0062\",\"latitude\":34.6946,\"lo'" | |
| example_title: "Region True Positive Example" | |
| - text: "' is an animal welfare issue as well as wasting time of vets and carers who rescue and treat these injured animals for free.\\\\n<TARGET_REGION> has banned these products as has Iceland, New Zealand and Ireland. Scotland has said they will ban them. Our birds, Microbat'" | |
| example_title: "Region False Positive Example" | |