Instructions to use HackitzLabs/opus-mt-tl-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use HackitzLabs/opus-mt-tl-en with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('translation', 'HackitzLabs/opus-mt-tl-en');
Download onnx/encoder_model_quantized.onnx from HackitzLabs/opus-mt-tl-en: direct link, hf CLI and curl.
- Browser
- Download file 48.9 MB
-
https://huggingface.co/HackitzLabs/opus-mt-tl-en/resolve/main/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://HackitzLabs/opus-mt-tl-en/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/HackitzLabs/opus-mt-tl-en/resolve/main/onnx/encoder_model_quantized.onnx
48.9 MB
- Xet hash:
- 5b820fc1048ea5b61989c895789fd7165e5c2e24e207a69a457d6f858688cd64
- Size of remote file:
- 48.9 MB
- SHA256:
- 755d641a9daf7fe59acdf0aa1e903a56f77eeede8e409a4b06432b841e69228e
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