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`npm i` ### Tests `npm run test` ### Linting `npm run lint` ### Build `npm run build` ## Usage ### Class creation A base model can be created to add global functionnalities: ```javascript import { Model } from 'cbx-client-model';
```typescript import { Model, Field, Index, MongoModel } from 'mongodjay'
Get accurate and well named css box model information about an Element 📦
First: initial database connection ```js import { Model } from 'ryzens' import knex from 'knex' import knexConfig from 'path/to/knexfile.js' Model.knex(knex(knexConfig)) ``` Second: Model defination ```js import { Model } from 'ryzens' import password fro
AI SDK by Vercel - The AI Toolkit for TypeScript and JavaScript
A basic implementation of the RDF/JS Data Model
Easily display interactive 3D models on the web and in AR!
Tree-shakeable static models.dev catalog split by provider for TokenLens.
Core types and registry utilities for TokenLens (model metadata).
mdast extension to parse and serialize MDX.js ESM (import/exports)
Helpers for context windows, usage normalization, compaction, and cost estimation.
A TypeScript/JavaScript implementation of the RDF/JS data factory.
Typed client for models.dev to fetch model catalogs with friendly errors.
TensorFlow layers API in JavaScript
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
This package contains the trace engine implementation used by the DevTools Performance Panel.
A helper library for loading and saving the .api.json files created by API Extractor
JSON data for Ember.js RFC #395
Genkit AI framework plugin for Google Cloud Platform including Firestore trace/state store and deployment helpers for Cloud Functions for Firebase.