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

Create New Model

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

Delete Space

Remove a Hugging Face Space
from composio_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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_langchain 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 platform for building AI applications, designed to make the process of developing AI solutions super easy and fun! It provides a comprehensive set of tools and libraries that simplify the process of developing AI solutions, 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, allowing you to leverage its capabilities within the Composio.dev platform. You can utilize Hugging Face to call functions across various platforms, including Google, GitHub, and others, making it a breeze to incorporate different services into your AI applications. Additionally, it supports user authentication via OAuth2 and can work in conjunction with other popular frameworks like LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with Hugging Face?

With Hugging Face, 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 into my project?

Composio.dev provides a seamless integration for Hugging Face, making it super easy to incorporate this powerful framework into your projects. You can leverage the Composio.dev API to call functions from Hugging Face, allowing you to tap into its capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with your preferred programming language and integrate Hugging Face into your projects seamlessly.

What is the pricing for Hugging Face?

Hugging Face is completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes it accessible for developers and organizations of all sizes to explore and experiment with this powerful tool without any upfront costs. Whether you're a student working on a personal project or a startup building the next big thing, you can get started with Hugging Face without worrying about breaking the bank.

What kind of authentication is supported for Hugging Face?

Hugging Face supports OAuth2 authentication, ensuring secure and authorized access to its functionalities. You can leverage the Composio.dev API to handle authentication and call functions from Hugging Face 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 Hugging Face, enabling you to leverage its 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 Hugging Face to your project with ease.

What is the accuracy of Hugging Face?

Hugging Face is 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. Hugging Face's 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?

Hugging Face can be used for a wide range of AI applications, making it a versatile tool for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. It's 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, Hugging Face 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.
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