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 tokenizer_config.json from HackitzLabs/opus-mt-en-tl: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/HackitzLabs/opus-mt-en-tl/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://HackitzLabs/opus-mt-en-tl/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/HackitzLabs/opus-mt-en-tl/resolve/main/tokenizer_config.json
280 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "</s>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "separate_vocabs": false, | |
| "source_lang": "en", | |
| "sp_model_kwargs": {}, | |
| "target_lang": "tl", | |
| "tokenizer_class": "MarianTokenizer", | |
| "unk_token": "<unk>" | |
| } | |