onnx-community/embeddinggemma-300m-ONNX

sentence-similarity model by onnx-community

Open original source ↗

Model overview

onnx-community/embeddinggemma-300m-ONNX is a sentence-similarity model repository published by onnx-community on Hugging Face. The source reports the transformers.js library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
sentence-similarity
Library
transformers.js
Recent downloads (30 days)
251,636
Cumulative likes
73
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Gemma3TextModel
License
gemma
Access
Not gated by Hugging Face
Created
2025-08-22T16:41:16.000Z
Last modified
2025-09-04T15:43:56.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: google/embeddinggemma-300m

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-15T06:34:07.001Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

sentence-transformers/all-MiniLM-L6-v2

sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2

BAAI/bge-m3

sentence-transformers/all-mpnet-base-v2

nomic-ai/nomic-embed-text-v1.5

intfloat/multilingual-e5-small