Weekly
Get a weekly shortlist of trending models
Every week you get the top trending models in your task area, leaving out ones you've already been sent.
- Runs
- Weekly
- Apps
- Hugging Face
- AI
- Not needed
- Access
- read
Send this to your assistant
Create a ClickRuntime automation: every Monday at 9am, email me the 10 top trending text-generation models on Hugging Face that weren't in last week's email, with their likes and links.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
A developer building a speech feature wants to know when a strong new open model appears, but the Hugging Face model list changes constantly. Searching by task and sorting by trending takes ten minutes, so it only happens when there is a deadline, and by then a better model has been available for weeks. The team is still benchmarking last quarter's favorite while competitors have already moved on.
Once a week, ClickRuntime lists models in the task area you care about, sorted by what is trending or most liked, removes anything it has already sent you, and emails the new names. Each entry links to the model page so you can open the card straight away.
It helps product teams, ML engineers and technical founders who want to spot useful open models early without following social media.
What you get out of it
Find better models sooner
A model that moves up the trending list is usually getting real attention for a reason. Hearing about it the week it appears gives you a head start on testing it against what you use now.
Compare options before a build
Planning a feature around a model that is about to be replaced wastes engineering time. A regular view of what is rising helps you pick the base model that will still look sensible in a quarter.
No repeats clogging the list
Models already sent are dropped from later emails. Each digest is therefore new names only, so you do not reread the same top five every week and stop opening the message.
Scoped to your own task area
Filtering by a task such as text classification or automatic speech recognition means the email matches your work. Colleagues in other areas can have their own version with their own filter.
Cheap way to track a fast field
Open model releases are too frequent to follow manually. One weekly email gives a manageable habit that keeps a team informed, with no one assigned to watch the hub full time.
How it works
What happens, step by step
Once a week, ClickRuntime fetches the top trending text-generation models on Hugging Face.
It leaves out any model it sent you last week and keeps the top 10 of the rest.
You get an email listing each model with its likes and a link.
Before it runs live
- Connect Hugging Face
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Add an AI step, for example to summarize, sort or draft a reply
- Add another app, for example also send it to Slack
- Combine it with other Hugging Face steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, notify, http, state
@on_trigger
def run(event):
models = http.get("https://huggingface.co/api/models",
params={"filter": "text-generation", "sort": "trendingScore", "limit": 50}).json()
last_week = set(state.get("last_week") or [])
picks = [m for m in models if m["id"] not in last_week][:10]
lines = [f"{m['id']} ({m.get('likes', 0)} likes)\nhttps://huggingface.co/{m['id']}" for m in picks]
notify.email_me("Trending text-generation models", "\n\n".join(lines) or "No new trending models this week.")
state.set("last_week", [m["id"] for m in picks])
return {"models": len(picks)}FAQ
Common questions
Can I limit it to a particular task, like text-generation?
What does trending mean on Hugging Face?
Will the same model show up in more than one email?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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