Duplicated from onnx-community/granite-embedding-97m-multilingual-r2-ONNX
How to use Hisham480/multilingual-r2-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'Hisham480/multilingual-r2-ONNX');
How to use Hisham480/multilingual-r2-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Hisham480/multilingual-r2-ONNX")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Hisham480/multilingual-r2-ONNX") model = AutoModel.from_pretrained("Hisham480/multilingual-r2-ONNX")
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