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Joseph [open/acc] Pollack

Tonic

https://discord.gg/qdfnvSPcqP

AI & ML interests

🤖Making robots to help people learn things quicker 👩🏻‍🚀🚀

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updated a collection about 16 hours ago

financial datasets

liked a dataset about 16 hours ago

snorkelai/Multi-Turn-Insurance-Underwriting

liked a model 1 day ago

google/gemma-3n-E4B-it

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reacted to merve's post with 🧠 10 days ago

Post

3509

IN: video fine-tuning support for

facebook V-JEPA 2 in HF transformers 🔥

it comes with
> four models fine-tuned on Diving48 and SSv2 dataset facebook/v-jepa-2-6841bad8413014e185b497a6
> FastRTC demo on V-JEPA2 SSv2 qubvel-hf/vjepa2-streaming-video-classification
> fine-tuning script on UCF-101 https://gist.github.com/ariG23498/28bccc737c11d1692f6d0ad2a0d7cddb
> fine-tuning notebook on UCF-101 https://colab.research.google.com/drive/16NWUReXTJBRhsN3umqznX4yoZt2I7VGc?usp=sharing
we're looking forward to see what you will build! 🤗

replied to merve's post 11 days ago

it's finally release :-) :-) :-) :-)

reacted to merve's post with 👀🚀🤝👍➕🧠🔥🤗 11 days ago

Post

3647

stop writing CUDA kernels yourself

we have launched Kernel Hub: easy optimized kernels for all models on Hugging Face 🔥 use them right away!
it's where the community populates optimized kernels 🤝

this release comes in three parts
> Kernel Hub: contains (as of now) 14 kernels
> kernels: Python library to load kernels from Kernel Hub
> kernel-builder: Nix package to build kernels for PyTorch (made using PyTorch C++ frontend)

when building models, your regular workflow should be pulling kernels from Hub and building your model with them 🤗
here's a practical example with RMSNorm:
1. pull the kernel from Hub with get_kernel
2. decorate with use_kernel_forward_from_hub
3. inject it to your model
we'd love to hear your feedback! 🙏🏻
we also welcome kernel contributions by community 🥹💗

- request kernels here: kernels-community/README#1
- check out this org:

kernels-community
- read the blog: https://huggingface.co/blog/hello-hf-kernels

1 reply

reacted to merve's post with 🚀😎👀❤️ 16 days ago

Post

1595

Meta just released V-JEPA 2: new open-source image/video world models ⏯️🤗 facebook/v-jepa-2-6841bad8413014e185b497a6

> based on ViT, different sizes (L/G/H) and resolution (286/384)
> 0-day support in 🤗 transformers
> comes with a physical reasoning (from video) benchmark: MVPBench, IntPhys 2, and CausalVQA facebook/physical_reasoning_leaderboard

Read more https://ai.meta.com/blog/v-jepa-2-world-model-benchmarks/
We will release a fine-tuning notebook with task-specific models in transformers format soon, stay tuned!

reacted to danieldk's post with 🤗🔥 23 days ago

Post

1620

We have been working on a project called kernels. kernels makes it possible to load compute kernels directly from the Hub! 🚀

We plan to give kernels a more proper introduction soon. But for those who have been following along, we are happy to announce a new release:

- New layer API with torch.compile support.
- Experimental support for loading Apple Silicon Metal 🤘 Kernels.
- Generate wheels from Hub kernels for legacy deployments.

Full release notes here: https://github.com/huggingface/kernels/releases/tag/v0.6.0

reacted to MJannik's post with 🤝 23 days ago

Post

1608

Hi everyone, we’ve got big news! Starting today, all Langfuse product features are available as free OSS (MIT license).

You can now upgrade your self-hosted Langfuse to access features like:
- Managed LLM-as-a-Judge evaluations
- Annotation queues
- Prompt experiments
- LLM playground

We’re incredibly grateful for the support of this amazing community and can’t wait to hear your feedback on the new features!

More on this change here: https://langfuse.com/blog/2025-06-04-open-sourcing-langfuse-product

reacted to leonardlin's post with 🚀🧠👍 23 days ago

Post

352

I'm excited to announce the official release of our Shisa V2 405B model:
shisa-ai/shisa-v2-llama3.1-405b

It's the strongest model ever trained in Japan, and even goes toe-to-toe w/ GPT-4o and DeepSeek-V3 in JA MT-Bench.

For all the details, be sure to check out post and overview report here: https://shisa.ai/posts/shisa-v2-405b/

Joseph [open/acc] Pollack

AI & ML interests

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