FermionResearch commited on
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1 Parent(s): b9b59f7

Phonon-2: eval results at the card's numbers; reference script comments

Browse files
.eval_results/open_asr_leaderboard.yaml CHANGED
@@ -1,90 +1,79 @@
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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  task_id: mean_wer
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- value: 5.15
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- date: '2026-09-26'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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  user: FermionResearch
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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- task_id: ami_wer
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- value: 9.28
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- date: '2026-09-26'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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  user: FermionResearch
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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- task_id: earnings22_wer
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- value: 6.71
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- date: '2026-09-26'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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  user: FermionResearch
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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- task_id: gigaspeech_wer
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- value: 8.33
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- date: '2026-09-26'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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  user: FermionResearch
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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- task_id: librispeech_clean_wer
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- value: 1.72
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- date: '2026-09-26'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
49
  user: FermionResearch
50
 
51
  - dataset:
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  id: hf-audio/open-asr-leaderboard
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- task_id: librispeech_other_wer
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- value: 3.9
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- date: '2026-09-26'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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  user: FermionResearch
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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  task_id: spgispeech_wer
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- value: 3.68
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- date: '2026-09-26'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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  user: FermionResearch
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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  task_id: voxpopuli_wer
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- value: 2.44
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- date: '2026-09-26'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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  user: FermionResearch
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-
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- - dataset:
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- id: hf-audio/open-asr-leaderboard
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- task_id: rtfx
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- value: 3500.59
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- date: '2026-09-26'
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- source:
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- url: https://huggingface.co/FermionResearch/Phonon-2
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- name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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- user: FermionResearch
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-
 
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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  task_id: mean_wer
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+ value: 5.21
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+ date: '2026-09-29'
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  source:
7
  url: https://huggingface.co/FermionResearch/Phonon-2
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+ name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
9
  user: FermionResearch
10
 
11
  - dataset:
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  id: hf-audio/open-asr-leaderboard
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+ task_id: librispeech_clean_wer
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+ value: 1.72
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+ date: '2026-09-29'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
18
+ name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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  user: FermionResearch
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21
  - dataset:
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  id: hf-audio/open-asr-leaderboard
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+ task_id: librispeech_other_wer
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+ value: 3.92
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+ date: '2026-09-29'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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+ name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
29
  user: FermionResearch
30
 
31
  - dataset:
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  id: hf-audio/open-asr-leaderboard
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+ task_id: ami_wer
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+ value: 9.37
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+ date: '2026-09-29'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
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+ name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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  user: FermionResearch
40
 
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  - dataset:
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  id: hf-audio/open-asr-leaderboard
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+ task_id: earnings22_wer
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+ value: 6.96
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+ date: '2026-09-29'
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  source:
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  url: https://huggingface.co/FermionResearch/Phonon-2
48
+ name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
49
  user: FermionResearch
50
 
51
  - dataset:
52
  id: hf-audio/open-asr-leaderboard
53
+ task_id: gigaspeech_wer
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+ value: 8.35
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+ date: '2026-09-29'
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  source:
57
  url: https://huggingface.co/FermionResearch/Phonon-2
58
+ name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
59
  user: FermionResearch
60
 
61
  - dataset:
62
  id: hf-audio/open-asr-leaderboard
63
  task_id: spgispeech_wer
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+ value: 3.70
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+ date: '2026-09-29'
66
  source:
67
  url: https://huggingface.co/FermionResearch/Phonon-2
68
+ name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
69
  user: FermionResearch
70
 
71
  - dataset:
72
  id: hf-audio/open-asr-leaderboard
73
  task_id: voxpopuli_wer
74
+ value: 2.46
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+ date: '2026-09-29'
76
  source:
77
  url: https://huggingface.co/FermionResearch/Phonon-2
78
+ name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
79
  user: FermionResearch
 
 
 
 
 
 
 
 
 
 
 
SHA256SUMS.txt CHANGED
@@ -2,7 +2,7 @@
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  422379e411f14dde97174554deead106ec1e4816e14dd78a1bf99517c6dcc663 config.json
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  690c6bc43bcbcae8df61cff0b2cace7299d023718b6f2aa9d67157407eadaa07 packed_manifest.json
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  00624a5043e7ce74029317b024132ca5286116d6fbf3191d226374bc8273789f NOTICE
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- 6833410ae75725ec2a9392085c2138a6d4ffb87be62ff5fe86faff45413f8586 reference_transformers.py
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  5cf172e8cf6b313e951c4ef588ca913c7285b0aa3b92de413c3d7ec2b939c0e4 fermion_container.py
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  0dad36aa73a9b80fd5165dc33bd226f874a4ff727b06c7bd04a289c69da58452 README.md
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  9ba9550ad48438d0836ddab3da480b3b69ffa0aac7b7878b5a0039e7ab429411 LICENSE-WEIGHTS-CC-BY-4.0.txt
 
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  422379e411f14dde97174554deead106ec1e4816e14dd78a1bf99517c6dcc663 config.json
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  690c6bc43bcbcae8df61cff0b2cace7299d023718b6f2aa9d67157407eadaa07 packed_manifest.json
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  00624a5043e7ce74029317b024132ca5286116d6fbf3191d226374bc8273789f NOTICE
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+ cdb9019dddef44da211641022564830733b18841bdce7aa66370ff6d47526a8d reference_transformers.py
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  5cf172e8cf6b313e951c4ef588ca913c7285b0aa3b92de413c3d7ec2b939c0e4 fermion_container.py
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  0dad36aa73a9b80fd5165dc33bd226f874a4ff727b06c7bd04a289c69da58452 README.md
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  9ba9550ad48438d0836ddab3da480b3b69ffa0aac7b7878b5a0039e7ab429411 LICENSE-WEIGHTS-CC-BY-4.0.txt
reference_transformers.py CHANGED
@@ -1,11 +1,11 @@
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- """Dense `transformers` reference for the Phonon-2 container (item 3 of the ship lane).
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  read container -> expand every record to fp32 (five-value: exact {0,+-lo,+-hi}; intN: q*scale;
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  fp16: as stored) -> stock ParakeetForTDT(config).load_state_dict(strict=True) -> greedy TDT
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- generate through ParakeetProcessor, exactly the call the official-meter read boxes make.
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  Usage: python reference_transformers.py model.fermion --audio recording.wav
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- python reference_transformers.py model.fermion --utts rows.json --out receipt.json (the gate set)
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  Outputs per utterance: transcript (+ token ids) and, for --dump-encoder N utts, the encoder
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  output in fp32 so the MLX graph can be compared against the torch graph. Pure reference:
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  no speed claim is made or measured here.
 
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+ """Dense `transformers` reference for the Phonon-2 container.
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  read container -> expand every record to fp32 (five-value: exact {0,+-lo,+-hi}; intN: q*scale;
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  fp16: as stored) -> stock ParakeetForTDT(config).load_state_dict(strict=True) -> greedy TDT
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+ generate through ParakeetProcessor, the same call the leaderboard scoring uses.
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  Usage: python reference_transformers.py model.fermion --audio recording.wav
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+ python reference_transformers.py model.fermion --utts rows.json --out receipt.json
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  Outputs per utterance: transcript (+ token ids) and, for --dump-encoder N utts, the encoder
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  output in fp32 so the MLX graph can be compared against the torch graph. Pure reference:
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  no speed claim is made or measured here.