Instructions to use aavinashsyamala/huffpost-roberta-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aavinashsyamala/huffpost-roberta-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aavinashsyamala/huffpost-roberta-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aavinashsyamala/huffpost-roberta-classifier") model = AutoModelForSequenceClassification.from_pretrained("aavinashsyamala/huffpost-roberta-classifier") - Notebooks
- Google Colab
- Kaggle
| datasets: | |
| - khalidalt/HuffPost | |
| metrics: | |
| - accuracy | |
| - f1 | |
| - precision | |
| - recall | |
| base_model: | |
| - FacebookAI/roberta-base | |
| library_name: transformers | |