Feature Extraction
Transformers.js
ONNX
GGUF
sentence-transformers
multilingual
qwen3
embedding
llama-cpp
jina-embeddings-v5
mteb
vllm
text-embeddings-inference
Instructions to use MaunikG/jina-embeddings-v5-text-small-clustering-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use MaunikG/jina-embeddings-v5-text-small-clustering-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'MaunikG/jina-embeddings-v5-text-small-clustering-ONNX'); - sentence-transformers
How to use MaunikG/jina-embeddings-v5-text-small-clustering-ONNX with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MaunikG/jina-embeddings-v5-text-small-clustering-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
- Xet hash:
- 24186cb5b102196e2757979847c87fd10451a86cc0fd1d7ecc5da787cf9655a7
- Size of remote file:
- 2.38 GB
- SHA256:
- 236f0d667c5a222329996b1a38cac809fe810ac36ef8dd5572115f9ce921d258
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