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:
- 3b96922adbf8fc6a4fecefc2ed060c7613192c795824290d899803d4b5d56105
- Size of remote file:
- 899 MB
- SHA256:
- 5eb59da021a419c885fd77a34896c02e2ede29cc71f54b24950357214a2bac27
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