AI가 움직이고 미래가 업데이트됩니다.canary-ctc-aligner-GGUF
GGUF / ggml conversions of the **auxiliary CTC alignment model** that ships *inside* `nvidia/canary-1b-v2`'s `.nemo` tarball, repackaged as a standalone forced-aligner for use with the `nfa-align` CLI from **CrispStrobe/CrispASR@parakeet**. When you download `nvidia/canary-1b-v2` you get a single `canary-1b-v2.nemo` tarball. Inside that tarball there are TWO weight files: That second model is what NVIDIA calls the "auxiliary CTC model" used by NeMo Forced Aligner (NFA) to compute frame-aligned word and segment timestamps for Canary's transcript output. **It's the official NVIDIA-recommended path for getting word-level timestamps from Canary**, since the main encoder–decoder doesn't emit them natively (cross-attention DTW tops out around ~360 ms MAE; CTC forced alignment gives ~30-80 ms).
번역 준비 중입니다. 원문을 표시합니다.
GGUF / ggml conversions of the **auxiliary CTC alignment model** that ships *inside* `nvidia/canary-1b-v2`'s `.nemo` tarball, repackaged as a standalone forced-aligner for use with the `nfa-align` CLI from **CrispStrobe/CrispASR@parakeet**. When you download `nvidia/canary-1b-v2` you get a single `canary-1b-v2.nemo` tarball. Inside that tarball there are TWO weight files: That second model is what NVIDIA calls the "auxiliary CTC model" used by NeMo Forced Aligner (NFA) to compute frame-aligned word and segment timestamps for Canary's transcript output. **It's the official NVIDIA-recommended path for getting word-level timestamps from Canary**, since the main encoder–decoder doesn't emit them natively (cross-attention DTW tops out around ~360 ms MAE; CTC forced alignment gives ~30-80 ms).