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ISOISS
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bge-m3-onnx

Sentence Similarity
sentence-transformers
ONNX
xlm-roberta
feature-extraction
text-embeddings-inference
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How to use from the
Use from the
sentence-transformers library
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("ISOISS/bge-m3-onnx")

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]

ONNX Model of BAAI/bge-m3 for use in Text Embeddings Inference (TEI)

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