Text Classification
Transformers
Safetensors
English
distilbert
encryption
equivariant-encryption
nesa
text-embeddings-inference
Instructions to use nesaorg/distilbert-sentiment-encrypted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nesaorg/distilbert-sentiment-encrypted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nesaorg/distilbert-sentiment-encrypted")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nesaorg/distilbert-sentiment-encrypted") model = AutoModelForSequenceClassification.from_pretrained("nesaorg/distilbert-sentiment-encrypted") - Notebooks
- Google Colab
- Kaggle