Hugging Face integration

AI utilities connector, available on Zeplik

Hugging Face is available as an integration on Zeplik, the AI assistant that works across every model in one chat. Connect Hugging Face and Zeplik can act on your AI for you: Build, train and deploy state of the art models powered by the reference open source in machine learning. You stay in the conversation while the assistant does the work in Hugging Face directly.

Zeplik exposes 61 read actions and 39 write actions for Hugging Face. Read actions run automatically; write actions stay off until you enable write access in Settings, so nothing is changed in Hugging Face without your consent.

Try Hugging Face on Zeplik

Pick a prompt to open it in the Zeplik app. If you are not signed in yet, your prompt is waiting for you the moment you do.

What Zeplik can do with Hugging Face

Read from Hugging Face (61)

Runs automatically in any conversation.

  • Check dataset validity

    Tool to check whether a specific dataset is valid on Hugging Face Hub. Use when you need to determine what features (preview, viewer, search, filter, statistics) are available for a dataset.

  • Check models upload method

    Tool to check if files should be uploaded through the Large File mechanism or directly. Use when preparing to upload files to a Hugging Face model repository to determine the appropriate upload method for each file.

  • Check spaces upload method

    Tool to check if files should be uploaded through the Large File mechanism or directly to Hugging Face Spaces. Use when preparing to upload files to a Hugging Face Space repository to determine the appropriate upload method for each file.

  • Get daily papers

    Tool to retrieve daily papers from Hugging Face. Use when you need to fetch the latest AI/ML research papers shared on Hugging Face.

  • Get dataset croissant

    Tool to get Croissant metadata about a Hugging Face dataset. Croissant is a metadata format built on schema.org aimed at describing datasets used for machine learning. Use when you need structured metadata in JSON-LD format.

  • Get dataset first rows

    Tool to get the first 100 rows of a dataset split along with column data types and features. Use when you need to preview or sample dataset content.

  • Get dataset info

    Tool to get general information about a dataset including description, citation, homepage, license, and features (column schemas). Use when you need to understand dataset structure, available splits, and metadata before working with the data.

  • Get dataset repo info

    Tool to retrieve detailed information about a Hugging Face dataset repository. Use when you need metadata, card data, tags, downloads, likes, configurations, or other information about a specific dataset.

  • Get dataset rows

    Tool to retrieve a slice of rows from a Hugging Face dataset split at any given location (offset). Returns up to 100 rows at a time with complete feature type information and no truncation. Use when you need to inspect specific rows from a dataset without downloading the entire dataset.

  • Get datasets compare

    Tool to get a comparison (diff) between two revisions of a Hugging Face dataset. Use when you need to see what changed between dataset versions or commits.

  • Get dataset size

    Tool to get the size of a Hugging Face dataset including number of rows and size in bytes. Use when you need to determine dataset size, memory requirements, or storage needs for a specific dataset.

  • Get datasets jwt

    Tool to generate a JWT token for accessing a Hugging Face dataset repository. Use when you need authenticated access to datasets, optionally with write access for spaces in dev mode, custom expiration, or encryption.

and 49 more.

Act in Hugging Face (39)

Runs only after you enable write access.

  • Change discussions status

    Tool to change the status of a Hugging Face repository discussion. Use when you need to open or close discussions on models, datasets, or spaces.

  • Claim settings papers claim

    Tool to claim authorship of a paper on Hugging Face. Use when you need to associate yourself or another user with an ArXiv paper.

  • Create ask access

    Tool to request access to a gated repository on Hugging Face Hub. Use when you need to submit an access request for models, datasets, or Spaces that require approval. The fields required vary by repository.

  • Create collection

    Tool to create a new collection on Hugging Face. Use when you need to organize and curate models, datasets, spaces, papers, or other collections into a named collection.

  • Create datasets branch

    Tool to create a new branch in a Hugging Face dataset repository. Use when you need to create a branch for versioning or experimentation with dataset changes.

  • Create datasets commit

    Tool to create a commit in a Hugging Face dataset repository. Use when you need to add, update, or delete files in a dataset. Supports both regular files and Large File Storage (LFS) for large binary files. Can optionally create a pull request instead of directly committing.

  • Create datasets preupload

    Tool to check if files should be uploaded via Large File Storage (LFS) or directly to a Hugging Face dataset repository. Use before uploading files to determine the correct upload method for each file based on size and repository settings.

  • Create datasets tag

    Tool to create a tag on a Hugging Face dataset repository. Use when you need to mark a specific revision with a named tag.

  • Create discussions

    Tool to create a new discussion on a Hugging Face repository (model, dataset, or Space). Use when you need to start a conversation, report an issue, or create a pull request discussion.

  • Create discussions comment

    Tool to create a new comment on a Hugging Face repository discussion. Use when you need to add comments or replies to discussions on models, datasets, or spaces.

  • Create discussions pin

    Tool to pin or unpin a discussion on a Hugging Face repository (model, dataset, or Space). Use when you need to highlight important discussions by pinning them to the top of the list, or unpin them when they're no longer priority.

  • Create models branch

    Tool to create a new branch in a Hugging Face model repository. Use when you need to create a branch for experimenting with model changes, versioning, or creating isolated development environments.

and 27 more.

How to connect Hugging Face

  1. Sign in to Zeplik

    Create a free Zeplik account or sign in. New accounts start with free credits, so you can try Hugging Face immediately.

  2. Connect Hugging Face

    Open Settings and go to Connectors, then press Connect on Hugging Face. You can also connect from the Hugging Face page in the app.

  3. Approve access to Hugging Face

    Approve access on Hugging Face's secure consent screen. You are returned to Zeplik and can start giving instructions that use Hugging Face.

Frequently asked questions

Can I use Hugging Face with Zeplik?
Yes. Hugging Face is available as an integration on Zeplik. Connect it once and the AI assistant can work with your Hugging Face account inside any conversation.
What can Zeplik do with Hugging Face?
Once connected, Zeplik has 61 read and 39 write actions for Hugging Face. Build, train and deploy state of the art models powered by the reference open source in machine learning.
How do I connect Hugging Face to Zeplik?
You connect Hugging Face with a secure one-click sign-in (OAuth): press Connect in Settings under Connectors and approve access on Hugging Face's consent screen.
Does Zeplik change things in Hugging Face without asking?
No. Zeplik reads from Hugging Face by default. Any action that changes data in Hugging Face requires write access, which stays off until you enable it in Settings under Connectors.
How much does connecting Hugging Face cost?
Connecting Hugging Face is free. You only spend Zeplik credits when the assistant runs, and new accounts start with free credits.

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Connect Hugging Face to your AI assistant

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