Hugging Face

AI models and datasets platform

With emma's Hugging Face integration, you can search models, datasets, and Spaces on Hugging Face Hub, and use the Inference API for text generation, classification, and embedding extraction.

Features

Authentication

API Key:API Key

Authenticate using your Hugging Face API key to access models, datasets, and inference capabilities.

HuggingFace_Operator supports the following 11 tools:

Category

Tools

User Info

	Tool Name	Description
	huggingface_get_user	Get authenticated Hugging Face user information

Model Operations

	Tool Name	Description
	huggingface_search_models	Search models (sortable by downloads, likes)
	huggingface_get_model	Get model details (including tags, file list)
	huggingface_list_user_models	List models published by a user

Dataset Operations

	Tool Name	Description
	huggingface_search_datasets	Search datasets
	huggingface_get_dataset	Get dataset details (including language, task categories)

Spaces Operations

	Tool Name	Description
	huggingface_search_spaces	Search Spaces
	huggingface_get_space	Get Space details (including SDK, status)

Inference API

	Tool Name	Description
	huggingface_text_generation	Generate text (GPT-2, LLMs, etc.)
	huggingface_text_classification	Classify text (sentiment analysis, etc.)
	huggingface_feature_extraction	Get text embedding vectors

Main Parameters

Parameter	Description
model_id	Model ID (e.g., bert-base-uncased, meta-llama/Llama-2-7b)
dataset_id	Dataset ID (e.g., squad, glue)
space_id	Space ID (e.g., stabilityai/stable-diffusion)
query	Search keyword
prompt	Text generation prompt
max_new_tokens	Maximum number of tokens to generate
temperature	Temperature parameter (0.1-2.0)

Prerequisites

• emma account
• Hugging Face account
• Hugging Face access token

Setup

1. Install the package

npm install @duzzle/huggingface-integration

2. Initialize

import { DuzzleHuggingFace } from '@duzzle/huggingface-integration';

const hf = new DuzzleHuggingFace({
  apiKey: process.env.DUZZLE_API_KEY,
  huggingfaceApiKey: process.env.HUGGINGFACE_API_KEY
});

3. Search Models

// Search for models
const models = await hf.searchModels({
  query: 'text-generation',
  limit: 10,
  sort: 'downloads'
});

console.log('Models:', models);

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