Hugging Face's logo
Anton Vlasjuk's picture
33 14 47

Anton Vlasjuk

AntonV
huggingface
AdilZtn's profile picture aloeser's profile picture jzhang533's profile picture
·

AI & ML interests

None yet

Recent Activity

reacted to IlyasMoutawwakil's post with 🚀 about 6 hours ago
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 !
new activity about 8 hours ago
baidu/ERNIE-4.5-VL-28B-A3B-PT:HF v5 support
new activity about 8 hours ago
MiniMaxAI/MiniMax-M2:Transformers v5 support
View all activity

Organizations

Hugging Face's profile picture Hugging Face Internal Testing Organization's profile picture Hugging Face Discord Community's profile picture Data Science@CAIDAS Uni Würzburg's profile picture Transformers Community's profile picture nanochat students's profile picture