3 ms·
Whats the deal about hf?
by hardware2win 3y ago
Whats the deal about hf?
- phero_cnstrcts 3y agoDunno, but I’m not sure I like the name.
- version_five 3y agoI don't like it, on one hand it's really sappy in a non-endearing way, on the other, https://avp.fandom.com/wiki/Facehugger https://avp.fandom.com/wiki/Facehugger (which incidentally is probably some foreshadowing of the time when the VCs start trying to get their returns) It's mildly embarrassing to have to refer to it in a professional context.
- turbobooster 3y ago[dead]
- kbutler 3y agoAI model-sharing platform, named after the emoji: https://blog.emojipedia.org/emojiology-hugging-face/ https://blog.emojipedia.org/emojiology-hugging-face/ (I don't know that I've ever attempted to paste an emoji into HN before, and I'm rather glad to learn it strips them out, though they're fine in other contexts.)
- flangola7 3y agoSeems kind of biased to prevent some Unicode characters but not others. Those characters exist for a purpose: to more accurately convey human communication.
- RosanaAnaDana 3y agoThink of it like a GitHub for sharing datasets and weights. I'd like 'huggingface' to the face hugger alien. You can just rip off the front and back of models and train them on new data. Although I've been told explicitly by the HF this is not the case, it's my preferred head cannon.
- Culonavirus 3y ago> Think of it like a GitHub for sharing datasets and weights I give it 3 years before the inevitable Microsoft acquisition.
- RosanaAnaDana 3y agoUgh puke in my mouth, but I agree. HF is too useful to not be nerfed the toxicity that is modern big tech.
- codersfocus 3y agoIt was a consumer facing AI chat app similar to Replika. They pivoted to being a repository for AI stuff.
- geraltofrivia 3y agoHuggingFace or HF was a incorporated entity writing some well engineered and easy to use Deep Learning libraries. Notably, around the time when the Transformer paper was released, and when the NLP community started using them en masse, HF’s implementation became very popular. They started hosting pretrained models that you can download and start using in a single python line. Then they started doing the same for common datasets. Now it’s one of the larger AI startups with a brilliant set of programmers, engineers, and have multiple revenue streams (I’m guessing).