Aisheets

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aisheets is an AI Agents & Automation tool that helps build, enrich, and transform datasets using AI models with no code. It can be deployed locally or on the Hugging Face Hub, offering access to thousands of open models.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is aisheets?

Hugging Face AI Sheets is an open-source tool designed for building, enriching, and transforming datasets using AI models without requiring any code. It offers flexible deployment options, allowing users to run it locally or leverage the Hugging Face Hub, which provides access to thousands of open models, including gpt-oss from OpenAI. The tool supports various deployment methods like Docker and pnpm, and allows for running data generation scripts using HF Jobs. Users can also configure AI Sheets to work with custom and local LLMs that support the OpenAI API specification, such as Ollama, by setting environment variables for model endpoints. While custom LLMs can be integrated for text generation, text-to-image generation currently relies on the Hugging Face Inference Providers API.

Best used for

Ideal for data scientists and developers who need to quickly build, enrich, and transform datasets using AI models, and integrate custom or local LLMs. Especially valuable for those seeking a no-code solution with flexible deployment options and access to a wide range of open-source models.

Common actions

build datasets

enrich datasets

transform datasets

deploy AI models

integrate custom LLMs

face swapping"AI Agents"github copilotdeepfakecollaborationopen-sourcelow-code/no-codeworkflowsautomated workflow

Capabilities

Key features

No-code dataset transformation
Local/Hub deployment
Thousands of open models
Custom LLM integration
Data generation scripts
OpenAI API specification support

Target Audience

data scientistdeveloperproduct manager

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

Can AI Sheets be used with local Large Language Models (LLMs)?

Yes, AI Sheets supports integration with custom and local LLMs, such as Ollama, provided they adhere to the OpenAI API specification. Users need to set specific environment variables like MODEL_ENDPOINT_URL and MODEL_ENDPOINT_NAME to point to their custom LLM instance.

What kind of AI models can be used with AI Sheets?

AI Sheets allows access to thousands of open models from the Hugging Face Hub via Inference Providers. It also supports local models, including gpt-oss from OpenAI, and custom LLMs that are compatible with the OpenAI API specification.

Is it possible to customize the text-to-image generation feature?

Currently, the text-to-image generation feature in AI Sheets cannot be customized. It exclusively utilizes the Hugging Face Inference Providers API for generating images, even when custom LLMs are configured for text generation.

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