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")# 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_quantized.onnx from onnx-community/granite-embedding-311m-multilingual-r2-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 313 MB
-
https://huggingface.co/onnx-community/granite-embedding-311m-multilingual-r2-ONNX/resolve/main/onnx/model_quantized.onnx
- Command line
-
hf download hf://onnx-community/granite-embedding-311m-multilingual-r2-ONNX/onnx/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/onnx-community/granite-embedding-311m-multilingual-r2-ONNX/resolve/main/onnx/model_quantized.onnx
313 MB
- Xet hash:
- 160eab36e7cd1d4039aa4b3e318622fb481bd603ade31da76dbe3804e83f0c18
- Size of remote file:
- 313 MB
- SHA256:
- 54d33d10f865516eda6770d7b0bbf5eaece861058907da0ad095c62e52958c3d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.