Instructions to use HackitzLabs/opus-mt-en-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use HackitzLabs/opus-mt-en-tl with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('translation', 'HackitzLabs/opus-mt-en-tl');
Download onnx/encoder_model_quantized.onnx from HackitzLabs/opus-mt-en-tl: direct link, hf CLI and curl.
- Browser
- Download file 49 MB
-
https://huggingface.co/HackitzLabs/opus-mt-en-tl/resolve/main/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://HackitzLabs/opus-mt-en-tl/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/HackitzLabs/opus-mt-en-tl/resolve/main/onnx/encoder_model_quantized.onnx
49 MB
- Xet hash:
- 6d79eff3cf04dce3586a5b8949cac1a7fbff54a188c6af28d31ccbe5d0119328
- Size of remote file:
- 49 MB
- SHA256:
- 046c4ace3e9d0063d39be78bee7d35672e2636ffb03b24e6c715b4d46bb7fd51
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