Instructions to use privacy-tech-lab/CityBaseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use privacy-tech-lab/CityBaseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="privacy-tech-lab/CityBaseModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("privacy-tech-lab/CityBaseModel") model = AutoModelForSequenceClassification.from_pretrained("privacy-tech-lab/CityBaseModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ff48bff | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5319e1437f038c63bb340369eab935fde9a26b10526a84390a7bd243484b8107
size 3055
|