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617.7K views
We just released Transformers' boldest feature: Transformers Agents.
This removes the barrier of entry to machine learning
Control 100,000+ HF models by talking to Transformers and Diffusers
Fully multimodal agent: text, images, video, audio, docs...🌎
https://t.co/OILVxIX44I
495.7K views
Welcome to @OpenAI on @huggingface!
477.4K views
🤗 Transformers has been built by, with, and for the community.
Reaching 100k ⭐ on GitHub is a testament to ML's reach and the community's will to innovate and contribute.
To celebrate, we highlight 100 incredible projects in transformers' vicinity.
https://t.co/gMI1WGRhTm
📊 Post performance
🔥 Top post: We just released Transformers' boldest feature: Transformers Age · 617.7K views
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🔥 Top post
We just released Transformers' boldest feature: Transformers Agents.
This removes the barrier of entry to machine learning
Control 100,000+ HF models by talking to Transformers and Diffusers
Fully multimodal agent: text, images, video, audio, docs...🌎
https://t.co/OILVxIX44I
Welcome to @OpenAI on @huggingface!
Kimi K2 is number one trending on HF, congrats!
🤗 Transformers has been built by, with, and for the community.
Reaching 100k ⭐ on GitHub is a testament to ML's reach and the community's will to innovate and contribute.
To celebrate, we highlight 100 incredible projects in transformers…
The first RNN in transformers! 🤯
Announcing the integration of RWKV models in transformers with @BlinkDL_AI and RWKV community!
RWKV is an attention free model that combines the best from RNNs and transformers.
Learn more about the model i…
SAM, the groundbreaking segmentation model from @Meta is now in available in 🤗 Transformers!
What does this mean?
1. One line of code to load it, one line to run it
2. Efficient batching support to generate multiple masks
3. pipeline supp…
THIS IS BIG! 👀
It's now possible to take any of the >30,000 ML apps from Spaces and run them locally (or on your own infrastructure) with the new "Run with @Docker" feature. 🔥🐳
See an app you like? Run it yourself in just 2 clicks🤯
Last week @MetaAI publicly released huge LMs, with up to ☄️30B parameters. Great win for Open-Source🎉
These checkpoints are now in 🤗transformers!
But how to use such big checkpoints?
Introducing Accelerate and
⚡️BIG MODEL INFERENCE⚡️
…
🤗🚀 https://t.co/M7GGxu5TRa
💡 Facts
🕵️ Fake follower check
Estimated- Est. 69% real, active audience · Medium fake-follower risk.
- Low engagement (~0.4× of followers engage each post) — a sign of an inflated or inactive audience.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (9+ years old).
- 0.3% engagement — below the ~14.4% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
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🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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