How to use cngcv/bge-base-financial-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cngcv/bge-base-financial-matryoshka") sentences = [ "The text refers to the preparation of a pre-trained model for data set usage, which is a crucial step in machine learning projects. This suggests that the project involves using a model that has already been trained on a dataset, which can then be fine-tuned or used directly for specific tasks, potentially saving time and computational resources.", "What is the significance of preparing a pre-trained model in the data set for the process described in the text?", "What is the purpose of the document?", "What are the developer AI developer's experiences in AI development and research?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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