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