varunneal/flash-attention-3
Updated
β’
24
β’
8
Varun Srivastava
varunneal
AI & ML interests
Working on embeddings. Check out in-browser Semantic Finder in the link above.
Recent Activity
updated
a model
1 day ago
varunneal/flash-attention-3
updated
a dataset
13 days ago
varunneal/nanogpt-recorded-params
published
a dataset
13 days ago
varunneal/nanogpt-recorded-params
Organizations
updated
a
model
1 day ago
updated
a
dataset
13 days ago
published
a
dataset
13 days ago
updated
a
model
25 days ago
published
a
model
26 days ago
liked
a
model
about 1 month ago
could you add a built for torch29-cxx11-cu130-x86_64-linux
4
#2 opened 2 months ago
by
OGamer34
updated
a
dataset
4 months ago
published
a
dataset
4 months ago
published
a
model
5 months ago
upvoted
an
article
8 months ago
Article
DO THEY SEE WHAT WE SEE?
β’
6
reacted to
do-me's
post with π₯π
12 months ago
Post
3328
New app built based on https://huggingface.co/docs/transformers.js and
minishlab/potion-6721e0abd4ea41881417f062!
It uses the super performant CPU-only models to calculate semantic similarity fully client-side based on Excel or CSV tables.
- App: https://do-me.github.io/semantic-similarity-table/
- Code: https://github.com/do-me/semantic-similarity-table
It uses the super performant CPU-only models to calculate semantic similarity fully client-side based on Excel or CSV tables.
- App: https://do-me.github.io/semantic-similarity-table/
- Code: https://github.com/do-me/semantic-similarity-table
upvoted
a
paper
12 months ago
reacted to
lewtun's
post with π₯π₯
about 1 year ago
Post
10518
We are reproducing the full DeepSeek R1 data and training pipeline so everybody can use their recipe. Instead of doing it in secret we can do it together in the open!
π§ͺ Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1.
π§ Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code.
π₯ Step 3: show we can go from base model -> SFT -> RL via multi-stage training.
Follow along: https://github.com/huggingface/open-r1
π§ͺ Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1.
π§ Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code.
π₯ Step 3: show we can go from base model -> SFT -> RL via multi-stage training.
Follow along: https://github.com/huggingface/open-r1
- 5 replies
reacted to
Xenova's
post with π₯
over 1 year ago
Post
15223
I'm excited to announce that Transformers.js V3 is finally available on NPM! π₯ State-of-the-art Machine Learning for the web, now with WebGPU support! π€―β‘οΈ
Install it from NPM with:
πππ π @πππππππππππ/ππππππππππππ
or via CDN, for example: https://v2.scrimba.com/s0lmm0qh1q
Segment Anything demo: webml-community/segment-anything-webgpu
Install it from NPM with:
πππ π @πππππππππππ/ππππππππππππ
or via CDN, for example: https://v2.scrimba.com/s0lmm0qh1q
Segment Anything demo: webml-community/segment-anything-webgpu
- 5 replies
liked
a
Space
over 1 year ago
updated
a
dataset
over 2 years ago
liked
a
Space
over 2 years ago