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');
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")
https://huggingface.co/onnx-community/granite-embedding-311m-multilingual-r2-ONNX/resolve/main/tokenizer_config.json
hf download hf://onnx-community/granite-embedding-311m-multilingual-r2-ONNX/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/onnx-community/granite-embedding-311m-multilingual-r2-ONNX/resolve/main/tokenizer_config.json
