Text Classification
Transformers
Safetensors
English
nli
cross-encoder
qwen3.5
reranker
image-text-to-text
Instructions to use ldov/openjevv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldov/openjevv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ldov/openjevv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ldov/openjevv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,539 Bytes
e46c127 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | // Screenshots the prismarine-viewer page of mc_bot.js (--viewer 3008) into <dir>/<unix_ms>.jpg until killed.
// LD_LIBRARY_PATH=/mnt/mc/libs/root/usr/lib/x86_64-linux-gnu PUPPETEER_CACHE_DIR=/mnt/mc/puppeteer node mc_record.js frames 3008 8
const puppeteer = require('puppeteer'), fs = require('fs'), path = require('path')
const [dir, port, fps] = [process.argv[2] || 'frames', process.argv[3] || 3008, +(process.argv[4] || 8)]
;(async () => {
fs.mkdirSync(dir, { recursive: true })
const exe = require('child_process').execSync(`ls ${process.env.PUPPETEER_CACHE_DIR}/chrome-headless-shell/linux-*/chrome-headless-shell-linux64/chrome-headless-shell`).toString().trim()
const browser = await puppeteer.launch({ executablePath: exe, args: ['--no-sandbox', '--use-gl=angle', '--use-angle=gl-egl', '--ignore-gpu-blocklist', '--enable-gpu'] }) // hardware EGL: ~70 ms per shot, SwiftShader: 2-4 s
const page = await browser.newPage()
await page.setViewport({ width: 960, height: 540 })
page.on('console', m => { if (m.type() === 'error') console.log('page error:', m.text()) })
await page.goto(`http://127.0.0.1:${port}`)
await new Promise(r => setTimeout(r, 5000))
console.log('recording to', dir)
let n = 0
for (;;) {
const t0 = Date.now()
await page.screenshot({ path: path.join(dir, `${t0}.jpg`), type: 'jpeg', quality: 80 })
if (++n % 100 === 0) console.log(n, 'frames,', Date.now() - t0, 'ms per shot')
await new Promise(r => setTimeout(r, Math.max(0, 1000 / fps - (Date.now() - t0))))
}
})()
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