Instructions to use research-backup/roberta-large-semeval2012-average-prompt-e-nce-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/roberta-large-semeval2012-average-prompt-e-nce-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="research-backup/roberta-large-semeval2012-average-prompt-e-nce-classification")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research-backup/roberta-large-semeval2012-average-prompt-e-nce-classification") model = AutoModel.from_pretrained("research-backup/roberta-large-semeval2012-average-prompt-e-nce-classification") - Notebooks
- Google Colab
- Kaggle