Building on HF

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ProgramerSalar🇿

ProgramerSalar

https://zulense.com/

ProgramerSalar

AI & ML interests

Deep Learning

Recent Activity

updated a dataset about 1 hour ago

zulense/white_board

updated a dataset about 1 hour ago

ProgramerSalar/Rita

updated a dataset about 1 hour ago

ProgramerSalar/Rita_Black_white_mix

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Organizations

updated 3 datasets about 1 hour ago

updated a model about 1 hour ago

ProgramerSalar/fineTune_dit_checkpoint

Text-to-Video • Updated about 1 hour ago

updated a model about 2 hours ago

ProgramerSalar/causal_vae_checkpoint

Updated about 2 hours ago

New activity in Wan-AI/Wan2.2-TI2V-5B about 2 hours ago

Fine-tuning performance on Indian datasets / AIRAWAT Compute

#10 opened about 2 hours ago by

ProgramerSalar

updated a dataset about 5 hours ago

zulense/white_board_clip_video

Updated 14 minutes ago • 108

updated a Space 2 days ago

Zulense

🚀

New activity in pmczip/Z-Image-Turbo_Models 11 days ago

Founding Engineer Role: Access to AIRAWAT Supercomputer (Zulense)

#1 opened 11 days ago by

ProgramerSalar

New activity in varunm2004/cat_dataset_normalized 11 days ago

I see you deployed Zeroscope on your Space. That's great. But for my company, we are training a video model from scratch on a Supercomputer (AIRAWAT).

#1 opened 11 days ago by

ProgramerSalar

liked a dataset 11 days ago

varunm2004/cat_dataset_normalized

Updated Nov 10, 2025 • 3 • 1

liked a model 11 days ago

krahets/Diffuman4D

Video-to-Video • Updated Sep 10, 2025 • 33 • 7

New activity in krahets/Diffuman4D 11 days ago

Research Collaboration: Scaling Educational Video AI (Access to AIRAWAT Supercompute)

#1 opened 11 days ago by

ProgramerSalar

liked a model 11 days ago

pmczip/Z-Image-Turbo_Models

Text-to-Image • Updated 9 days ago • 1.93k • • 2

published a dataset 11 days ago

zulense/white_board_clip_video

Updated 14 minutes ago • 108

New activity in DiffusionFanatic1/LFM2-VL-3B-heretic-Q8_0-GGUF 11 days ago

VRAM usage.

#1 opened 11 days ago by

ProgramerSalar

reacted to IlyasMoutawwakil's post with 🔥 18 days ago

Post

2352

After 2 months of refinement, I'm happy to announce that a lot of Transformers' modeling code is now significantly more torch-compile & export-friendly 🔥

Why it had to be done 👇
PyTorch's Dynamo compiler is increasingly becoming the default interoperability layer for ML systems. Anything that relies on torch.export or torch.compile, from model optimization to cross-framework integrations, benefits directly when models can be captured as a single dynamo-traced graph !

Transformers models are now easier to:
⚙️ Compile end-to-end with torch.compile backends
📦 Export reliably via torch.export and torch.onnx.export
🚀 Deploy to ONNX / ONNX Runtime, Intel Corporation's OpenVINO, NVIDIA AutoDeploy (TRT-LLM), AMD's Quark, Meta's Executorch and more hardware-specific runtimes.

This work aims at unblocking entire TorchDynamo-based toolchains that rely on exporting Transformers across runtimes and accelerators.

We are doubling down on Transformers commitment to be a first-class citizen of the PyTorch ecosystem, more exportable, more optimizable, and easier to deploy everywhere.

There are definitely some edge-cases that we still haven't addressed so don't hesitate to try compiling / exporting your favorite transformers and to open issues / PRs.

PR in the comments ! More updates coming coming soon !