Instructions to use sivelsguy/opus-mt-fr-he-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use sivelsguy/opus-mt-fr-he-onnx with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('translation', 'sivelsguy/opus-mt-fr-he-onnx');
opus-mt-fr-he β ONNX (int8) for transformers.js
ONNX export (8-bit dynamic quantization) of Helsinki-NLP/opus-mt-fr-he
(Tiedemann et al., OPUS-MT, Apache-2.0), with a tokenizer.json so it runs in the browser with transformers.js:
const t = await pipeline("translation", "sivelsguy/opus-mt-fr-he-onnx", { dtype: "q8" });
Translate one sentence per call: batched inputs of different lengths may end with repeated punctuation.
Used by the open-source Hebrew learning app Parle. All credit for the model goes to Helsinki-NLP.
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