bge-small-en-v1.5 (INT8, ONNX)
This repository contains an INT8-quantized version of bge-small-en-v1.5, converted to the ONNX format for efficient CPU inference.
Based on the original model: https://huggingface.co/BAAI/bge-small-en-v1.5
Post-training INT8 quantization
Optimized for fast and lightweight inference
Suitable for embeddings, semantic search, and text classification
Note: This is a derivative work with format conversion and quantization only.
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Model tree for TrendHD/bge-small-en-v1.5-int8
Base model
BAAI/bge-small-en-v1.5
from sentence_transformers import SentenceTransformer model = SentenceTransformer("TrendHD/bge-small-en-v1.5-int8") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]