# Using huggingface as a hosting / CDN for a pretrained model

**URL:** <https://discuss.huggingface.co/t/using-huggingface-as-a-hosting-cdn-for-a-pretrained-model/128442>\
**Category:** 🤗Transformers\
**Created:** [November 29, 2024, 12:54pm UTC](https://discuss.huggingface.co/t/using-huggingface-as-a-hosting-cdn-for-a-pretrained-model/128442 "2024-11-29T12:54:53Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![tools-4all](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/tools-4all/32/36693_2.png) [@tools-4all](https://discuss.huggingface.co/u/tools-4all)\
**Post date:** [November 29, 2024, 12:54pm UTC](https://discuss.huggingface.co/t/using-huggingface-as-a-hosting-cdn-for-a-pretrained-model/128442/1 "2024-11-29T12:54:53Z")

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Hello!

I have a question regarding using the Hugging Face website as a CDN or hosting service for a pretrained model on my website, as well as for others who may want to use my model.

I have already trained my model using my own GPUs, but I would like to integrate it with Transformers.js and share it with the world. After reviewing the Terms of Service and the pricing page, I’m unsure whether I need to subscribe to a paid tier for this purpose. Since all computations will be performed client-side and not on Hugging Face’s servers, I’m also concerned about potential bandwidth limits.

Could you please provide clarification on whether a paid tier is necessary for hosting my model under these conditions and inform me about any bandwidth restrictions?

Thank you in advance for your assistance!

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**Author:** ![Yatohem](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/yatohem/32/54221_2.png) [@Yatohem](https://discuss.huggingface.co/u/Yatohem)\
**Post date:** [October 2, 2025, 11:17am UTC](https://discuss.huggingface.co/t/using-huggingface-as-a-hosting-cdn-for-a-pretrained-model/128442/2 "2025-10-02T11:17:09Z")

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I ran into a similar issue and ended up hosting my model files elsewhere since Hugging Face has size limits unless you’re on a paid plan. Depending on your setup, I’d also compare [nextcloud pricing](https://www.librecloud.host/nextcloud-hosting/)—sometimes it works out better if you’re already using it for private file sharing or want more control over access without worrying about throttling or public links expiring.

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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\
**Post date:** [October 3, 2025, 10:14pm UTC](https://discuss.huggingface.co/t/using-huggingface-as-a-hosting-cdn-for-a-pretrained-model/128442/3 "2025-10-03T22:14:45Z")

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While upload rate limits may be encountered and recommended file sizes exist, [there is generally no strict size cap when making models or datasets public](https://huggingface.co/docs/hub/en/storage-limits).

Since [`Transformer.js` performs inference on the user’s GPU via WebGPU within the browser](https://huggingface.co/docs/transformers.js/index), it imposes no load on Hugging Face beyond disk usage, making hosting feasible.

* * *

You can host a **public** model on the Hugging Face Hub and load it in the browser with **Transformers.js** without any paid tier. Paid plans are only needed if you want higher request rates or more private storage. Docs current on Oct 4, 2025; the rate-limit page states “current rate limits (in September ’25)”. ([Hugging Face](https://huggingface.co/docs/hub/en/rate-limits "Hub Rate limits"))

What actually limits you

- **Request rate, not bandwidth/GB.** File downloads use the Hub “Resolver” endpoints. Quotas per 5-minute window: Anonymous 3,000 • Free 5,000 • PRO 12,000 • Team 20,000 • Enterprise 50,000 • Enterprise Plus 100,000. If you exceed this you’ll get HTTP 429. No published per-GB egress caps. ([Hugging Face](https://huggingface.co/docs/hub/en/rate-limits "Hub Rate limits"))

- **Storage and file sizes.** Public repos: best-effort “unlimited” for hosting; private storage is 100 GB Free, 1 TB+ on paid plans. Per-repo typical cap ~300 GB unless approved. Hard single-file max 50 GB, **20 GB recommended** for better CDN caching. Files are served via CloudFront. ([Hugging Face](https://huggingface.co/docs/hub/en/storage-limits "Storage limits"))

Implications

- For a browser app that fetches N files per load, your max concurrent loads in 5 minutes ≈ quota ÷ N. Example: Free plan, 5 files per session ⇒ about 1,000 sessions per 5 minutes before 429s. Use an **HF token** so requests aren’t counted as anonymous. Upgrade only if you hit these ceilings. ([Hugging Face](https://huggingface.co/docs/hub/en/rate-limits "Hub Rate limits"))

If you outgrow the Free tier

- Upgrade to **PRO/Team** to raise Resolver limits and private storage. Plans list “higher storage, bandwidth, and API rate limits,” but pricing relates to features, not per-GB egress. ([Hugging Face](https://huggingface.co/pricing "Pricing"))

- Or mirror weights to your own CDN and point the app at it. **Transformers.js** supports custom model paths or disabling remote Hub fetches:

```js

// https://huggingface.co/docs/transformers.js/en/custom_usage

import { env } from '@huggingface/transformers';

env.localModelPath = '/models/'; // your CDN/static path

env.allowRemoteModels = false; // optional: avoid Hub fetches

```

([Hugging Face](https://huggingface.co/docs/transformers.js/en/custom_usage "Use custom models"))

Keep it smooth

- Shard large weights to \<20 GB per file; keep repos ≤300 GB by default. This improves CloudFront cache hit rates and user downloads. ([Hugging Face](https://huggingface.co/docs/hub/en/storage-limits "Storage limits"))

Bottom line

- **No paid tier required** for public hosting + client-side inference. Watch **Resolver request limits** and **file/repo size** rules; there are **no stated per-GB bandwidth caps**. Upgrade only for higher request headroom or more private storage. ([Hugging Face](https://huggingface.co/docs/hub/en/rate-limits "Hub Rate limits"))

Quick references

- Hub **Rate limits** (5-minute windows, quotas by plan). ([Hugging Face](https://huggingface.co/docs/hub/en/rate-limits "Hub Rate limits"))

- Hub **Storage limits** and file size guidance. ([Hugging Face](https://huggingface.co/docs/hub/en/storage-limits "Storage limits"))

- **CloudFront** delivery for `/resolve` downloads. ([Hugging Face](https://huggingface.co/docs/huggingface_hub/en/package_reference/file_download "Downloading files"))

- Transformers.js **custom model locations**. ([Hugging Face](https://huggingface.co/docs/transformers.js/en/custom_usage "Use custom models"))

- Example GitHub thread on local/static hosting with Transformers.js. ([github.com](https://github.com/xenova/transformers.js/issues/310 "How to load model from the static folder path in nextjs or ..."))