Text Classification
Transformers
TensorBoard
English
Swahili
multi-task-learning
fraud-detection
sentiment-analysis
call-quality
question-answering
jenga-ai
nlp-for-africa
security
attention-fusion
Eval Results (legacy)
Instructions to use Rogendo/JengaAI-multi-task-distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rogendo/JengaAI-multi-task-distilbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rogendo/JengaAI-multi-task-distilbert-base-uncased")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rogendo/JengaAI-multi-task-distilbert-base-uncased", dtype="auto") - Notebooks
- Google Colab
- Kaggle