Feature Extraction
Transformers.js
ONNX
Transformers
OpenVINO
modernbert
granite
embeddings
multilingual
mteb
sentence-similarity
matryoshka
text-embeddings-inference
Instructions to use onnx-community/granite-embedding-311m-multilingual-r2-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/granite-embedding-311m-multilingual-r2-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'onnx-community/granite-embedding-311m-multilingual-r2-ONNX'); - Transformers
How to use onnx-community/granite-embedding-311m-multilingual-r2-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="onnx-community/granite-embedding-311m-multilingual-r2-ONNX")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("onnx-community/granite-embedding-311m-multilingual-r2-ONNX") model = AutoModel.from_pretrained("onnx-community/granite-embedding-311m-multilingual-r2-ONNX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/model.onnx from onnx-community/granite-embedding-311m-multilingual-r2-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 1.25 GB
-
https://huggingface.co/onnx-community/granite-embedding-311m-multilingual-r2-ONNX/resolve/main/onnx/model.onnx
- Command line
-
hf download hf://onnx-community/granite-embedding-311m-multilingual-r2-ONNX/onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/onnx-community/granite-embedding-311m-multilingual-r2-ONNX/resolve/main/onnx/model.onnx
1.25 GB
- Xet hash:
- 87eaff9da8b4dd5897d9d3d65c397558ba86950578ef56ada5836ebb4f8358e5
- Size of remote file:
- 1.25 GB
- SHA256:
- 75f9f258bf5013f5fe8a4dad61dd0fd16ac0cbaa7a106e3d3f41c2d04a42d541
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