#transformermodel

Live, measured metrics for the hashtag #transformermodel from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #transformermodel

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$5.00/ year · 16-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
11
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 11
0.4
Avg reactions / post
Mastodon · last 11

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 04:54 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 04:54 UTC

No related tags with measured usage found for #transformermodel.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 04:54 UTC

Everything below is measured over the latest 11 public posts (spanning ~33587 hours).

Top of the latest posts

  • Interesting preprint about image retrieval in image generation models. They find that #StableDiffusion generates the same sofa 20% of the time when prompted with "Canvas Wall Art Print". The problem seems to be that the training dataset has

    Elio Campitelli@[email protected]362022-12-10 13:31 UTCView post →
  • Do diffusion models create unique works of art, or are they stealing content directly from their training sets? 📑Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models Via @akhaliq @zentralwerkstatt #transform

    Harald Klinke@[email protected]1112022-12-10 07:55 UTCView post →
  • #Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking eff

    tech news ᳇ eicker.news@[email protected]012026-07-16 04:42 UTCView post →

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/transformermodel