varunneal/nanorun
835 MB
Varun Srivastava
varunneal
AI & ML interests
Working on embeddings. Check out in-browser Semantic Finder in the link above.
Recent Activity
updated a bucket about 3 hours ago
varunneal/nanorun updated a model about 11 hours ago
varunneal/flash-attention-3 new activity 27 days ago
varunneal/flash-attention-3:could you add a built for torch29-cxx11-cu130-x86_64-linuxOrganizations
updated a
bucket about 3 hours ago
updated a
model about 11 hours ago
could you add a built for torch29-cxx11-cu130-x86_64-linux
5
#2 opened 4 months ago
by 
OGamer34
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upvoted an article 10 months ago
Article
DO THEY SEE WHAT WE SEE?
β’
7
reactedto do-me's post with π₯π about 1 year ago
Post
3338
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 about 1 year ago
reactedto lewtun's post with π₯π₯ about 1 year ago
Post
10536
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
reactedto Xenova's post with π₯ over 1 year ago
Post
15232
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
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