Sentence Similarity
Transformers.js
ONNX
sentence-transformers
xlm-roberta
feature-extraction
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Instructions to use onnx-community/multilingual-e5-base-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/multilingual-e5-base-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'onnx-community/multilingual-e5-base-ONNX'); - sentence-transformers
How to use onnx-community/multilingual-e5-base-ONNX with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("onnx-community/multilingual-e5-base-ONNX") 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
Welcome to the community
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