Text Classification
Transformers
Safetensors
PyTorch
English
bert
news-classification
BERT
Eval Results (legacy)
Instructions to use CIS519PG/News_Classifier_Demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CIS519PG/News_Classifier_Demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CIS519PG/News_Classifier_Demo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIS519PG/News_Classifier_Demo") model = AutoModelForSequenceClassification.from_pretrained("CIS519PG/News_Classifier_Demo") - Notebooks
- Google Colab
- Kaggle