Text Classification
Transformers
Safetensors
distilbert
privacy
policy-analysis
classification
text-embeddings-inference
Instructions to use skythrone/privacy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skythrone/privacy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="skythrone/privacy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("skythrone/privacy-model") model = AutoModelForSequenceClassification.from_pretrained("skythrone/privacy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
4825efd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d368c77aa6ed7576fd5e68d25a6942f1fb05542fd803339fc6741214073e4feb
size 535776442
|