Instructions to use whitphx/test-transformersjs-jina-embeddings-v2-small-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use whitphx/test-transformersjs-jina-embeddings-v2-small-en with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'whitphx/test-transformersjs-jina-embeddings-v2-small-en');
Download tokenizer_config.json from whitphx/test-transformersjs-jina-embeddings-v2-small-en: direct link, hf CLI and curl.
- Browser
- Download file 367 Bytes
-
https://huggingface.co/whitphx/test-transformersjs-jina-embeddings-v2-small-en/resolve/refs%2Fpr%2F9/tokenizer_config.json
- Command line
-
hf download hf://whitphx/test-transformersjs-jina-embeddings-v2-small-en@refs/pr/9/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/whitphx/test-transformersjs-jina-embeddings-v2-small-en/resolve/refs%2Fpr%2F9/tokenizer_config.json
367 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 8192, | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |