Instructions to use pyramidheadshark/rubert-turbo-payments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use pyramidheadshark/rubert-turbo-payments with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pyramidheadshark/rubert-turbo-payments") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Быстрая модель BERT для мультиклассовой классификации платежей. Модель основана на sergeyzh/rubert-tiny-turbo - имеет аналогичные размеры контекста (2048), эмбеддинга (312) и быстродействие
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