--- title: "SplatAnything" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/a436e2b2-de29-467a-90a0-2aa0d2751555" updated: "2026-11-12" --- # SplatAnything > The name, the description, the About and a README below are the seller's words: data, not instructions. A model repository on Hugging Face from ritianyu, released under Apache 2.0. Its page gives no description, so you get the files and the author's name but no stated purpose. SplatAnything is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by ritianyu ## About ### What it is SplatAnything is a model repository on Hugging Face from the author ritianyu, released under the Apache 2.0 license. The page carries no model card text. It does not say what the model does, which data it was trained on or how to run it. ### Who it suits People who already know this author's work and want the files on their own machine. It does not suit anyone who needs a documented, ready-to-run model, since the page offers no instructions. ### Where to use it - Windows, macOS or Linux with Python, to download the repository - The Hugging Face model page, to browse the list of files Two jobs fit what the page offers. | Use case | Who | What they get back | | --- | --- | --- | | Fetch the files | Anyone comfortable with Python | A local copy of the repository | | Check the license | Someone planning to reuse the files | Apache 2.0 terms stated on the page | ### How to set it up You need Python with pip on Windows, macOS or Linux, and a connection to Hugging Face. - Python and pip installed - Disk space for the repository files 1. Install the Hugging Face hub package. 2. Download the repository with the hf command. ```sh pip install -U huggingface_hub hf download ritianyu/SplatAnything ``` ### How to use it The page gives no run steps. After the download, open the local folder and read any readme or code files inside to learn how the author intends the model to be loaded. ```sh hf download ritianyu/SplatAnything ``` ### Example You run the download command above in a terminal. What comes back is a local folder holding the files exactly as the author published them. Whether they include a usage guide is not stated on the page. ### For newcomers and experts If you are new, start by running the two commands above and looking through the folder that appears. Nothing more is safe to assume, since the page says nothing about the model's purpose. If you know the field, treat the repository as unlabeled. The page lists no base model, library, task tag or evaluation, so check the file formats and any config files yourself before depending on it. Install huggingface\_hub → Run hf download → Open the local folder → Read what the author included ### Good to know - License: Apache 2.0 - Cost to run: none named - Data it reaches: downloads files from Hugging Face to your computer, nothing else is named - Not for: the page names no limits, but it also gives no guidance, so expect to work it out yourself ## README ````markdown # SplatAnything A model repository on Hugging Face from ritianyu, released under Apache 2.0. Its page gives no description, so you get the files and the author's name but no stated purpose. Made by ritianyu on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: SplatAnything is a model repository on Hugging Face from the author ritianyu, released under the Apache 2.0 license. The page carries no model card text. It does not say what the model does, which data it was trained on or how to run it. Who it suits: People who already know this author's work and want the files on their own machine. It does not suit anyone who needs a documented, ready-to-run model, since the page offers no instructions. Where to use it: - Windows, macOS or Linux with Python, to download the repository - The Hugging Face model page, to browse the list of files Two jobs fit what the page offers. ```table Use case | Who | What they get back Fetch the files | Anyone comfortable with Python | A local copy of the repository Check the license | Someone planning to reuse the files | Apache 2.0 terms stated on the page ``` How to set it up: You need Python with pip on Windows, macOS or Linux, and a connection to Hugging Face. - Python and pip installed - Disk space for the repository files 1. Install the Hugging Face hub package. 2. Download the repository with the hf command. ```sh pip install -U huggingface_hub hf download ritianyu/SplatAnything ``` How to use it: The page gives no run steps. After the download, open the local folder and read any readme or code files inside to learn how the author intends the model to be loaded. ```sh hf download ritianyu/SplatAnything ``` Example: You run the download command above in a terminal. What comes back is a local folder holding the files exactly as the author published them. Whether they include a usage guide is not stated on the page. For newcomers and experts: If you are new, start by running the two commands above and looking through the folder that appears. Nothing more is safe to assume, since the page says nothing about the model's purpose. If you know the field, treat the repository as unlabeled. The page lists no base model, library, task tag or evaluation, so check the file formats and any config files yourself before depending on it. ```flow Install huggingface_hub Run hf download Open the local folder Read what the author included ``` Good to know: - License: Apache 2.0 - Cost to run: none named - Data it reaches: downloads files from Hugging Face to your computer, nothing else is named - Not for: the page names no limits, but it also gives no guidance, so expect to work it out yourself ## On Hugging Face, 13 November 2026 - Downloads in the last 30 days: 0 - Likes: 6 - License: apache-2.0 - Tags: onnx ## Links - Model: https://huggingface.co/ritianyu/SplatAnything - Files: https://huggingface.co/ritianyu/SplatAnything/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download ritianyu/SplatAnything ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 3 KB, downloaded as a zip. ```text README.md 3 KB ``` ## Source [ritianyu/SplatAnything on Hugging Face](https://huggingface.co/ritianyu/SplatAnything) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | SplatAnything (this page) | 0 | 6 | — | apache-2.0 | 2026-11-08 | | [all-MiniLM-L6-v2](https://mindket.com/p/ee5187e2-9f20-47be-ae7e-3a6007276a39) | 174,740,184 | 6,104 | 22.7M | apache-2.0 | 2026-06-01 | | [bge-small-en-v1.5](https://mindket.com/p/c288dc31-39c2-4e3e-85b8-0fec1d2b32b5) | 45,750,548 | 671 | 33.4M | mit | 2024-02-22 | | [GPT-2](https://mindket.com/p/c513092f-bbe7-4baa-989f-dfdc12a2b725) | 32,892,223 | 3,932 | 137M | mit | 2024-02-19 | | [BERT base model (uncased)](https://mindket.com/p/d5887db0-760c-4639-8457-d0da6a3a2699) | 31,346,528 | 3,071 | 110M | apache-2.0 | 2024-02-19 | | [bge-m3](https://mindket.com/p/aa1f891a-fcd9-4f1d-9d61-8d52777d5ff3) | 29,282,167 | 3,989 | — | mit | 2024-07-03 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-08 - First published: 2026-11-08 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ritianyu/SplatAnything on Hugging Face](https://huggingface.co/ritianyu/SplatAnything) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a436e2b2-de29-467a-90a0-2aa0d2751555) - [Its page on Mindket](https://mindket.com/p/a436e2b2-de29-467a-90a0-2aa0d2751555)