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)