Instructions to use StevenLimcorn/unsup-simcse-roberta-large-semeval2016-restaurants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StevenLimcorn/unsup-simcse-roberta-large-semeval2016-restaurants with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="StevenLimcorn/unsup-simcse-roberta-large-semeval2016-restaurants")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("StevenLimcorn/unsup-simcse-roberta-large-semeval2016-restaurants") model = AutoModel.from_pretrained("StevenLimcorn/unsup-simcse-roberta-large-semeval2016-restaurants") - Notebooks
- Google Colab
- Kaggle