text2emoji-tiny: 2.4M T5, q8 ONNX (Transformers.js layout)

cfdf562 verified 16 days ago

1.27 kB

license: mit
library_name: transformers.js
pipeline_tag: text2text-generation
language:
  - en
tags:
  - emoji
  - t5
  - onnx
datasets:
  - KomeijiForce/Text2Emoji

text2emoji-tiny

A 2.4M-parameter T5 trained from scratch by runonweb to turn an English sentence into a short emoji sequence. 3.9 MB as q8 ONNX (encoder 1.7 MB + merged decoder 2.1 MB), in the Transformers.js layout.

Config	Params	val loss	emoji-set F1
3+3 layers, d_model 128, d_ff 512, 4 heads, BPE vocab 8192	2.43M	3.72	0.38

Data: KomeijiForce/Text2Emoji, ~493k ChatGPT-generated sentence → emoji pairs after cleaning. The dataset card lists no license; the weights are MIT. Recipe: training/text2emoji in the runonweb repo.

Use

import { Emojifier } from 'runonweb/emoji'

const emojifier = new Emojifier()
await emojifier.load()
const { text } = await emojifier.emojify('I love pizza and my dog') // "🍕❤️🐶"

Or with Transformers.js directly: pipeline('text2text-generation', 'midudev/text2emoji-tiny', { dtype: 'q8' }), decoding with no_repeat_ngram_size: 1; emojis come back space-separated.