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
- Xet hash:
- 4d31a829bee6de64bb317dddaf710e365a24a84f853c6c9c3176eb15980efcbf
- Size of remote file:
- 3.06 kB
- SHA256:
- a82b70718e359a0056e813558735bd381493a505fad8744fe27822cd5056b20f
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