Instructions to use limoXD/deberta-v2-tiny-japanese-ime-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use limoXD/deberta-v2-tiny-japanese-ime-web with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('fill-mask', 'limoXD/deberta-v2-tiny-japanese-ime-web');
deberta-v2-tiny-japanese-ime-web
ku-nlp/deberta-v2-tiny-japanese ใใใฉใฆใถใผใงๆ้ๅ่ฃใฎๆ่ๆฏ่ผใซไฝฟใใใใ
ONNX opset 18 ใธๅคๆใใๅ็ q8 ้ๅญๅใใ้
ๅธ็ฉใงใใ่ฟฝๅ ๅญฆ็ฟๆธใฟ IME ็ๆใขใใซใงใฏใใใพใใใ
ๅ
ฌ้ใใขใงใฏใใใฎใขใใซใๅ่ฃๅคใฎๆฅๆฌ่ชใ็ๆใใใใจใฏใชใใๅค้จใตใผใในใใๅๅพใใๆ้ๅ่ฃใฎ
ๅคๅ้จๅใ ใใๅจ่พบๆ่ใจๆฏ่ผใใพใใ
Source and attribution
- Source model:
ku-nlp/deberta-v2-tiny-japanese - Pinned source revision:
0427645e8cf44ee83b4a0b5f4498274d89e02adb - Source/model license: CC BY-SA 4.0
- Modification: ONNX opset 18 export followed by ONNX Runtime dynamic q8 quantization (
--avx2) - Transformers.js runtime tested:
4.2.0
The original model authors and KU-NLP retain attribution for the source model. This derivative is distributed under the same CC BY-SA 4.0 license. See the source model card for training data, limitations, and primary attribution.
Intended use
This artifact is intended for masked-language-model scoring in modern browsers. The accompanying demo uses pseudo-log-likelihood over a finite changed span. It is not a standalone Japanese IME, does not transliterate romaji, and should not be used to claim measured typo accuracy without a separate evaluation.
Files and integrity
| File | Bytes | SHA-256 |
|---|---|---|
config.json |
940 | b9b33ae82ec58433f716f24d7fb813a2d8d571f8711d0435ea443b7c73d55e35 |
onnx/model_quantized.onnx |
15,601,952 | 58cf2de17c54ab14121185a54f043aea5b6604df8d53b2dc8ed48b2fe0ae5b5f |
ort_config.json |
797 | 91d9fd2018747816bb5a0b67c8d15c5c419c204b691976e742ed4f67027bbd2b |
special_tokens_map.json |
1,022 | a627d4e20da5e9482f6a08f667ead8809ff9a22dbf6284b91dacd57f217b4555 |
tokenizer.json |
2,407,023 | daed41491fbbf9de417b613ce2b36e99c7e0abe131368b8da165ed73be77c4d5 |
tokenizer_config.json |
1,375 | e31840d0f51c5c2179a8a03d93ec3b3be75da940bb713f6b5e08f2f43dd25dea |
The receipt in EXPORT_RECEIPT.md records the reproducible export commands and local runtime probe.
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Base model
ku-nlp/deberta-v2-tiny-japanese