Hugging Face is an AI community that builds, trains and deploys state-of-the-art models. It provides a platform for researchers and developers to share and use pre-trained models, datasets, and other resources for natural language processing (NLP) and computer vision tasks.
๐Ÿ”— Connect and Use Hugging Face
1. ๐Ÿ”‘ Connect your Hugging Face acc
2. โœ… Select an action
3. ๐Ÿš€ Go live with the agent
What do you want to do?

API actions for Hugging Face for AI assitants/agents

Language
JS
PYTHON
Framework

Create New Model

Create a new machine learning model on Hugging Face
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_NEW_MODEL])

Upload Dataset

Upload a new dataset to Hugging Face
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPLOAD_DATASET])

Fine Tune Model

Fine-tune an existing model with custom data
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.FINE_TUNE_MODEL])

Deploy Model

Deploy a model to Hugging Face's model hosting service
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DEPLOY_MODEL])

Run Inference

Perform inference using a deployed model
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.RUN_INFERENCE])

Update Model

Update an existing model with new parameters or architecture
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_MODEL])

Delete Model

Remove a model from Hugging Face
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_MODEL])

Share Model

Share a model with the Hugging Face community
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SHARE_MODEL])

Create Space

Create a new Hugging Face Space for model demos
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_SPACE])

Update Space

Modify an existing Hugging Face Space
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_SPACE])

Delete Space

Remove a Hugging Face Space
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_SPACE])

Create Organization

Create a new organization on Hugging Face
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_ORGANIZATION])

Invite Member

Invite a new member to a Hugging Face organization
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.INVITE_MEMBER])

Remove Member

Remove a member from a Hugging Face organization
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.REMOVE_MEMBER])

Create Dataset Version

Create a new version of an existing dataset
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_DATASET_VERSION])

New Model Version

Triggered when a new version of a model is published
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_MODEL_VERSION])

Model Download Milestone

Triggered when a model reaches a download milestone
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_DOWNLOAD_MILESTONE])

New Dataset Version

Triggered when a new version of a dataset is published
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_DATASET_VERSION])

Space Update

Triggered when a Hugging Face Space is updated
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SPACE_UPDATE])

New Organization Member

Triggered when a new member joins an organization
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_ORGANIZATION_MEMBER])

Model Comment

Triggered when a comment is posted on a model
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_COMMENT])

Dataset Comment

Triggered when a comment is posted on a dataset
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATASET_COMMENT])

Model Like

Triggered when a model receives a like
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_LIKE])

Dataset Like

Triggered when a dataset receives a like
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATASET_LIKE])

New Follower

Triggered when a user gains a new follower
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_FOLLOWER])

Model Training Complete

Triggered when a model training job is completed
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_TRAINING_COMPLETE])

Dataset Processing Complete

Triggered when dataset processing is completed
from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATASET_PROCESSING_COMPLETE])

Frequently asked questions

What is Composio.dev?

Composio.dev is a cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support Hugging Face?

Composio.dev seamlessly integrates with Hugging Face, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use Hugging Face to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with Hugging Face and llamaindex_python?

When using Hugging Face and llamaindex_python, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate Hugging Face with llamaindex_python?

Integrating Hugging Face with llamaindex_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both Hugging Face and llamaindex_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.

What is the pricing for Hugging Face and llamaindex_python?

Both Hugging Face and llamaindex_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.

What kind of authentication is supported for Hugging Face and llamaindex_python?

Hugging Face and llamaindex_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both Hugging Face and llamaindex_python seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add Hugging Face to my project?

Absolutely! You can easily incorporate Hugging Face into your project by utilizing the Composio.dev API. This API allows you to call functions from both Hugging Face and llamaindex_python, enabling you to leverage their capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add these powerful tools to your project with ease.

What is the accuracy of Hugging Face and llamaindex_python?

Hugging Face and llamaindex_python are designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. The comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for Hugging Face and llamaindex_python?

Hugging Face and llamaindex_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, these tools can help you bring your ideas to life.

How does Hugging Face handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and Hugging Face takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. Hugging Face provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using Hugging Face for your AI development needs.

Can I customize Hugging Face and llamaindex_python for my specific needs?

Absolutely! Hugging Face and llamaindex_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.

What kind of support and documentation is available for Hugging Face and llamaindex_python?

Hugging Face and llamaindex_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.
+ Integrate seamlessly with your agentic frameworks
Composio Works with All Shapes and SizesComposio Works with All Shapes and SizesComposio Works with All Shapes and SizesComposio Works with All Shapes and SizesComposio Works with All Shapes and Sizes
Building for AI across continents๐Ÿงช