Hugging Face Downloads and Spaces From a US Mobile Address

Hugging Face is where model weights, datasets and demos live, and a lot of what happens there depends on where the request comes from. A gated repository asks for a login, a Space may be slow from one region and quick from another, a dataset download may be fine from a datacenter and painful from a phone. HourlyProxies rents you a US 4G or 5G carrier line by the hour so you can see all of that from a US consumer network. Two hours cost $2 or $3, the purchase stops at four hours, and nothing renews behind your back.

Seeing a model repo the way a US user does

Public model and dataset pages load for everyone, but the first impression is shaped by the network. A model card with large images, a README with embedded widgets and a file browser with thousands of shards all behave differently on a cellular link. Route a browser through the line and open your own repo: check the card at phone width, try the inference widget, click into a file and watch how quickly the viewer responds. This is the experience of a researcher reading your card on the train.

Gated repositories are worth checking too. Log in with your own account, accept the terms on a repo you are entitled to, and confirm that the download through the Hub client works from an address that your organization has never used.

Downloads, caching and the Hub client

The Hub client, the hf command and plain curl all honour HTTPS_PROXY, so a download through the line takes one environment variable. Pull a small model and time it on 4G and then on 5G: 4G usually gives 20 to 45 Mbps, 5G 50 Mbps and up, depending on signal. That tells you what a user on a laptop tethered to a phone is in for, and whether your documentation should suggest a smaller quantized variant for first-time users.

Keep the downloads modest. A single test pull of a few gigabytes is fine; mirroring a model family or seeding a dataset collection through the line is bulk transfer and outside fair use.

Spaces, endpoints and per-address limits

Spaces run on shared infrastructure and apply rate limiting per address to anonymous visitors, as does the free Inference API. If you build a demo, the dedicated line is a clean place to measure what an anonymous US visitor gets: how long the Space takes to wake, how many requests the demo accepts before it asks you to slow down, and whether the queue message renders properly on a small screen. Because only your traffic uses the address, the behavior you see is yours.

Inference Endpoints that you deploy yourself can be called through the line to check latency from a US consumer network and to confirm that any address restriction you configured actually holds.

Hourly, then daily when the job grows

Buy in the dashboard, in the app or through the Telegram bot. 4G is $2 for the first two hours and $2 per extra hour; 5G is $3 and $3. Four hours is the most one purchase holds and it never renews. Keep the line all day and the hours already paid count toward the $5 or $6 day price; weeks and months are there for an ongoing evaluation. Every plan is one dedicated SIM in hardware we own in a US city, with unlimited data under fair use, HTTP(S) and SOCKS5, free rotation and free moves between our eight cities.

• Model cards, widgets and file viewers at phone width
• Download timing on a real 4G or 5G link
• Anonymous Space and Inference API behavior from a clean address
• Two hours is usually plenty; add more only if you need it

Honest use only

Use your own account, accept gated terms only for repositories you may access, and do not rotate addresses to pull more from a free service than it offers. Hugging Face's terms and ours both forbid that. The line is for observation and testing from a US network, not for working around limits.

Setting up a Hugging Face proxy on HourlyProxies

1. Buy two hours on 4G or 5G in the city nearest the users you care about.
2. Set HTTPS_PROXY for the Hub client and configure a browser profile with the same endpoint.
3. Open your model card, Space or dataset and note how it behaves on the mobile link.
4. Time a small download and a few inference calls from the clean address.
5. Unset the proxy and let the meter finish.

Hugging Face proxy questions