So with SpaCy 3.0, HuggingFace, do we still have a reason to use NLTK? Or they complement each other? Right now, I lost track of the progress in NLP.
SpaCy 3.0
21–30 of 82 posts
Re: SpaCy 3.0
#22I have been using Spacy3 nightly for a while now. This is game changing. Spacy3 practically covers 90% of NLP use-cases with near SOTA performance. The only reason to not use it would be if you are literally pushing the boundaries of NLP or building something super specialized. Hugging Face and Spacy (also Pytorch, but duh) are saving millions of dollars in man hours for companies around the world. They've been a rev…
Man I wish they could be compensated remotely in proportion to that. Matthew Honnibal and team are wizards who have been working really hard for a really long time.
Maybe there's a comp strategy i don't know about - but they've created SO much value for the world.
Re: SpaCy 3.0
#23SpaCy and HuggingFace fulfill practically 99% of all our needs for NLP project at work. Really incredible bodies of work. Also, my team chat is currently filled with people being extremely stoked about the SpaCy + FastAPI support! Really hope FastAPI replaces Flask sooner rather than later.
There's some native SpaCy + FastAPI integration being created?!
This sounds mindblowing, off to Google I go...
Re: SpaCy 3.0
#24SpaCy and HuggingFace fulfill practically 99% of all our needs for NLP project at work. Really incredible bodies of work. Also, my team chat is currently filled with people being extremely stoked about the SpaCy + FastAPI support! Really hope FastAPI replaces Flask sooner rather than later.
There's some native SpaCy + FastAPI integration being created?! This sounds mindblowing, off to Google I go...
The author of FastAPI https://twitter.com/tiangolo is a Spacy employee
Re: SpaCy 3.0
#25I have been using Spacy3 nightly for a while now. This is game changing. Spacy3 practically covers 90% of NLP use-cases with near SOTA performance. The only reason to not use it would be if you are literally pushing the boundaries of NLP or building something super specialized. Hugging Face and Spacy (also Pytorch, but duh) are saving millions of dollars in man hours for companies around the world. They've been a rev…
Man I wish they could be compensated remotely in proportion to that. Matthew Honnibal and team are wizards who have been working really hard for a really long time. Maybe there's a comp strategy i don't know about - but they've created SO much value for the world.
Thanks for the love :). For the record yes we've been working hard, but also yes, we've been doing well from it.
I will say that people are using spaCy for free because that is what we asked them to do. I chose to make the library free and open-source when I first released it because I had the idea that I would be able to make that work out for me, if I could make this thing that would be useful to people and if they could be convinced to adopt it. And in order to convince people to adopt it, we've been telling people that spaCy will stay free and that we'll continue to work on it. So everything's going to plan here. Even if things weren't working out well for us (and they are), the fault would be entirely ours. I don't think we'd have any right to suddenly say, "Oh none of you jerks are paying, how unfair".
(For the record, we make money from sales of our annotation tool, Prodigy: https://prodi.gy . If you're reading this and you like spaCy, check it out ;)
Re: SpaCy 3.0
#26Is there any framework similar to SpaCy or HugginFaces but for images?
I haven't had a situation to use it, but I think Kornia looks cool: https://github.com/kornia/kornia
Re: SpaCy 3.0
#27I wonder if it is sheer coincidence that SpaCy is pronounced the way the russian word "спасай" is. It means "rescue" (v.)
Re: SpaCy 3.0
#28Earlier quoted context omitted.
Man I wish they could be compensated remotely in proportion to that. Matthew Honnibal and team are wizards who have been working really hard for a really long time. Maybe there's a comp strategy i don't know about - but they've created SO much value for the world.
Thanks for the love :). For the record yes we've been working hard, but also yes, we've been doing well from it. I will say that people are using spaCy for free because that is what we asked them to do. I chose to make the library free and open-source when I first released it because I had the idea that I would be able to make that work out for me, if I could make this thing that would be useful to people and if they…
Oh wow, Prodigy looks amazing. I need a tool for audio annotation, and looks like you guys built just the right thing for me.
Please invest more in SEO; I didn't find you guys two weeks ago when I researched different options for audio annotation :D.
Re: SpaCy 3.0
#29I stumbled over SpaCy when looking for something to extract key words and numbers from sentences, however it looked a bit daunting and/or overkill. Think recipes or similar, turning "take three tablespoons of sugar" into [3, 'tablespoons', 'sugar'] or similar.
Should I give it another shot or are there libraries more suited for this than just plain regexp galore?
Re: SpaCy 3.0
#30Earlier quoted context omitted.
Man I wish they could be compensated remotely in proportion to that. Matthew Honnibal and team are wizards who have been working really hard for a really long time. Maybe there's a comp strategy i don't know about - but they've created SO much value for the world.
Thanks for the love :). For the record yes we've been working hard, but also yes, we've been doing well from it. I will say that people are using spaCy for free because that is what we asked them to do. I chose to make the library free and open-source when I first released it because I had the idea that I would be able to make that work out for me, if I could make this thing that would be useful to people and if they…
I want to personally thank you for your work, and let you know I couldn’t have done an important project of mine if spaCy didn’t exist, and if it were not a free resource.
Your project was 1 of the 2 instrumental tools in my project to structure the transcripts of every word said on the floor of the New York State Senate over the past ~30 years in order to develop a topic-based “proximity” heuristic (based on CorEx, the 2nd instrumental tool) for which state senators were focused on which issues, based on the things they actually said on the record, not based on their press statements or their voting records (the latter of which doesn’t capture all the information you’d hope it would due to procedural nuances too obscure to detail here).
Thank you. Thank you, thank you, thank you.