Instructions to use dizyann/crivo-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use dizyann/crivo-web with Transformers.js:
// ⚠️ Unknown pipeline tag
File size: 3,471 Bytes
3f7a9b2 6986878 3f7a9b2 bd8c5ee 3f7a9b2 6986878 3f7a9b2 bd8c5ee 3f7a9b2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 | import { stat } from 'node:fs/promises'
import { join } from 'node:path'
import type { ModelLoadInfo, ModelProgress } from '../decisions/adapters/crivo.js'
import type { RuntimeMetrics } from '../decisions/adapters/runtime.js'
/** Human-readable diagnostics only; stdout remains the JSON response. */
export class TerminalProgress {
private readonly started = performance.now()
private info?: ModelLoadInfo
private missing = new Set<string>()
private steps = new Map<string, number>()
constructor(
private readonly write: (message: string) => void = (message) => {
process.stderr.write(`${message}\n`)
}
) {}
async loading(info: ModelLoadInfo): Promise<void> {
this.info = info
const modelFile = info.dtype === 'q8' ? 'onnx/model_quantized.onnx' : 'onnx/model.onnx'
const weights = info.weightFiles ?? [modelFile]
const files = ['config.json', 'tokenizer.json', 'tokenizer_config.json', ...weights]
const cached = await Promise.all(
files.map(async (file) => {
if (!info.cacheDir) return false
try {
const entry = await stat(join(info.cacheDir, info.modelId, file))
return entry.isFile() && entry.size > 0
} catch {
return false
}
})
)
this.missing = new Set(files.filter((_, index) => !cached[index]))
this.write(
`Model: ${info.modelId}${info.variant ? ` / ${info.variant}` : ''} | precision: ${info.dtype} | providers: ${info.providers.join(', ')}`
)
if (this.missing.size) {
const weightMiB =
info.weightMiB ??
(info.modelId === 'dizyann/crivo-150m-web' ? (info.dtype === 'q8' ? 144 : 571) : undefined)
const size =
weights.some((file) => this.missing.has(file)) && weightMiB !== undefined
? ` Weights: approximately ${weightMiB} MiB.`
: ''
this.write(`Files missing from cache; download required.${size}`)
this.write(`Download: ${[...this.missing].join(', ')}`)
} else {
this.write('Files found in cache; loading the model session.')
}
this.write('The first run may take a while to download files and initialize the backend.')
}
progress(event: ModelProgress): void {
const file = event.file
if (!file || !this.missing.has(file)) return
if (
event.status === 'progress' &&
event.progress !== undefined &&
Number.isFinite(event.progress)
) {
const step = Math.min(100, Math.floor(event.progress / 10) * 10)
if (step <= (this.steps.get(file) ?? -1)) return
this.steps.set(file, step)
this.write(`Downloading ${file}: ${step}%`)
} else if (event.status === 'done') {
this.missing.delete(file)
this.write(`File ready: ${file}`)
if (!this.missing.size) this.write('Files available; initializing the model session…')
}
}
summary(metrics: RuntimeMetrics, count: number): void {
const seconds = (ms: number) => `${(ms / 1000).toFixed(2)} s`
this.write(
`Completed: ${count} decisions | total: ${seconds(performance.now() - this.started)}`
)
this.write(
`Loading/download: ${seconds(metrics.loadMs)} | inference: ${seconds(metrics.inferenceMs)} | cleanup: ${seconds(metrics.disposeMs)}`
)
if (this.info)
this.write(
`Model: ${this.info.modelId}${this.info.variant ? ` / ${this.info.variant}` : ''} | precision: ${this.info.dtype} | providers: ${this.info.providers.join(', ')}`
)
}
}
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