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transformers · huggingface · nemotron
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Hugging Face shipped transformers v5.18.0 on 2026-09-30 (PyPI 5.18.0): NVIDIA Nemotron 3 Diarization (streaming/offline, up to 8 speakers, 80 ms–30.4 s buffers), NemotronH Omni (joint text/image/video/audio), NAVER HyperCLOVAX Vision V2 (built-in <think> CoT), and GTE bidirectional encoders (RoPE + gated MLP; gte / snowflake-arctic-embed family). Official model_doc pages are live.

Key Takeaways

  • ✓Release v5.18.0 at 2026-09-30T16:46:27Z; PyPI ~2026-09-30T16:45:57Z
  • ✓Nemotron 3 Diarization: streaming+offline, ≤8 speakers, 80 ms–30.4 s buffers, 10 ms frame multiples (#49056)
  • ✓NemotronH Omni: NemotronH + RADIO + optional Parakeet for joint text/image/video/audio (#46509)
  • ✓HyperCLOVAX Vision V2 (NAVER) + GTE encoders (RoPE/gated MLP; gte / snowflake-arctic-embed family)
  • ✓pip install -U transformers==5.18.0; docs for diarization/omni/gte linked above
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Project Links & Resources

Direct Access
Direct access to official project resources and documentation
🐙
transformers v5.18.0 release
github.com/huggingface/transformers/releases/tag/v5.18.0
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transformers 5.18.0 on PyPI
pypi.org/project/transformers/5.18.0/
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Nemotron 3 Diarization docs
huggingface.co/docs/transformers/main/en/model_doc/nemotron3_diarization
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NemotronH Omni docs
huggingface.co/docs/transformers/main/en/model_doc/nemotron_h_omni
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HyperCLOVAX Vision V2 docs
huggingface.co/docs/transformers/main/en/model_doc/hyperclovax_vision_v2
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GTE docs
huggingface.co/docs/transformers/main/en/model_doc/gte
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🌐
Paper 2507.18446 (AOSC/Sortformer)
huggingface.co/papers/2507.18446
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#49056
github.com/huggingface/transformers/pull/49056
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#46509
github.com/huggingface/transformers/pull/46509
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2409.06656
huggingface.co/papers/2409.06656
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2407.19669
huggingface.co/papers/2407.19669
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In-Depth Technical Analysis

Background

Streaming diarization and joint text/image/video/audio stacks often lived outside Transformers. v5.18.0 pulls Nemotron 3 Diarization, NemotronH Omni, HyperCLOVAX Vision V2, and GTE into the main library with docs.

What shipped

[v5.18.0](https://github.com/huggingface/transformers/releases/tag/v5.18.0): Nemotron 3 Diarization (≤8 speakers, 80 ms–30.4 s buffers) [#49056]; NemotronH Omni (RADIO + optional Parakeet) [#46509]; HyperCLOVAX Vision V2 with <think>; GTE (RoPE + gated MLP).

Benchmarks

No single SWE-bench table in the notes. Papers: 2507.18446 / 2409.06656 (diarization), 2407.19669 (GTE). Anchors: GitHub 2026-09-30T16:46:27Z, PyPI 5.18.0. Measure your own streaming latency and VRAM.

Get started

pip install -U transformers==5.18.0. Docs: https://huggingface.co/docs/transformers/main/en/model_doc/nemotron3_diarization