Instructions to use lrony101/multilingual-e5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use lrony101/multilingual-e5-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'lrony101/multilingual-e5-base');
Download tokenizer_config.json from lrony101/multilingual-e5-base: direct link, hf CLI and curl.
- Browser
- Download file 418 Bytes
-
https://huggingface.co/lrony101/multilingual-e5-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://lrony101/multilingual-e5-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/lrony101/multilingual-e5-base/resolve/main/tokenizer_config.json
418 Bytes
| { | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |