Model
This is a Machine Learning Model, that will give readable information about the Machine Learning Model Used.
Properties
| Name | Type |
|---|---|
| schema | EmbeddedModelSchema |
| id | string |
| version | string |
| created | GroupedTimestamp |
| name | string |
| description | string |
| cloud | boolean |
| type | ModelTypeEnum |
| usage | ModelUsageEnum |
| bytes | ByteDescriptor |
| ram | ByteDescriptor |
| quantization | string |
| foundation | ModelFoundationEnum |
| downloaded | boolean |
| loaded | boolean |
| unique | string |
| parameters | number |
| provider | ExternalMLProviderEnum |
| cpu | boolean |
| downloading | boolean |
| maxTokens | ModelMaxTokens |
| custom | boolean |
Example
import { Model } from '@pieces.app/pieces-os-client'
// TODO: Update the object below with actual values
const example: Model = {
"schema": null,
"id": null,
"version": null,
"created": null,
"name": null,
"description": null,
"cloud": null,
"type": null,
"usage": null,
"bytes": null,
"ram": null,
"quantization": null,
"foundation": null,
"downloaded": null,
"loaded": null,
"unique": null,
"parameters": null,
"provider": null,
"cpu": null,
"downloading": null,
"maxTokens": null,
"custom": null,
}
console.log(example)
// Convert the instance to a JSON string
const exampleJSON: string = JSON.stringify(example)
console.log(exampleJSON)
// Parse the JSON string back to an object
const exampleParsed = JSON.parse(exampleJSON) as Model
console.log(exampleParsed)