Instructions to use privacy-tech-lab/RegionDistilledModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use privacy-tech-lab/RegionDistilledModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="privacy-tech-lab/RegionDistilledModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("privacy-tech-lab/RegionDistilledModel") model = AutoModelForSequenceClassification.from_pretrained("privacy-tech-lab/RegionDistilledModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ed3900b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f3ee8b24d855275612d07ab2e9a48970a18e9426ae4ec4cd469706da77446167
size 3119
|