HuggingFaceM4/DocumentVQA
Viewer
•
Updated
•
50k
•
1.67k
•
25
Adriel Martins
Martins6
AI & ML interests
Graph Neural Networks (GNN) &
Robot Learning &
Multimodal AI
Recent Activity
liked
a dataset
10 days ago
HuggingFaceM4/DocumentVQA
liked
a dataset
10 days ago
HuggingFaceM4/WebSight
liked
a model
10 days ago
HuggingFaceM4/idefics2-8b
Organizations
None yet
Martins6's activity
liked
2
datasets
10 days ago
liked
2
models
10 days ago
liked
a
dataset
10 days ago
liked
a
dataset
12 days ago
liked
a
dataset
13 days ago
liked
a
Space
15 days ago
reacted to
thomwolf's
post with 🤗🔥🚀
25 days ago
Post
4508
We are proud to announce
HuggingFaceFW/fineweb-2: A sparkling update to
HuggingFaceFW/fineweb with 1000s of 🗣️languages.
We applied the same data-driven approach that led to SOTA English performance in🍷 FineWeb to thousands of languages.
🥂 FineWeb2 has 8TB of compressed text data and outperforms other multilingual datasets in our experiments.
The dataset is released under the permissive 📜 ODC-By 1.0 license, and the 💻 code to reproduce it and our evaluations is public.
We will very soon announce a big community project, and are working on a 📝 blogpost walking you through the entire dataset creation process. Stay tuned!
In the mean time come ask us question on our chat place: HuggingFaceFW/discussion
H/t @guipenedo @hynky @lvwerra as well as @vsabolcec Bettina Messmer @negar-foroutan and @mjaggi
We applied the same data-driven approach that led to SOTA English performance in🍷 FineWeb to thousands of languages.
🥂 FineWeb2 has 8TB of compressed text data and outperforms other multilingual datasets in our experiments.
The dataset is released under the permissive 📜 ODC-By 1.0 license, and the 💻 code to reproduce it and our evaluations is public.
We will very soon announce a big community project, and are working on a 📝 blogpost walking you through the entire dataset creation process. Stay tuned!
In the mean time come ask us question on our chat place: HuggingFaceFW/discussion
H/t @guipenedo @hynky @lvwerra as well as @vsabolcec Bettina Messmer @negar-foroutan and @mjaggi
- 2 replies
liked
a
model
25 days ago
Missing steps
9
#8 opened 2 months ago
by
Martins6
liked
3
models
about 1 month ago
reacted to
fdaudens's
post with 👍🔥🚀👀
about 2 months ago
Post
1834
Fascinating point from
@thomwolf
at Web Summit: AI misuse (deepfakes, fake news) is actually easier to make with closed models, not with open-source ones.
This challenges the common narrative that open-source AI is inherently more dangerous. The reality is more nuanced - while we may think open source is technically easier to misuse, closed models' accessibility and product-focused design appear to be driving more actual harm.
Important context for current AI safety discussions and regulation debates.
Do you agree? 👇
This challenges the common narrative that open-source AI is inherently more dangerous. The reality is more nuanced - while we may think open source is technically easier to misuse, closed models' accessibility and product-focused design appear to be driving more actual harm.
Important context for current AI safety discussions and regulation debates.
Do you agree? 👇
- 1 reply