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cairninstitute/mmc-humpback-dac9-models
mmc-humpback-dac9-models is a machine learning model from cairninstitute. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Combined Hugging Face model repository published by CAIRN Institute for the released MMC humpback DAC 9-codebook checkpoint families.
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Updated Jul 29, 2026
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From the Hugging Face model README
Combined Hugging Face model repository published by CAIRN Institute for the released MMC humpback DAC 9-codebook checkpoint families.
10k/
best_model.pt and resumable checkpoint_step648000.pt32k/
best_model.pt, resumable checkpoint_step504000.pt, and resumable checkpoint_step506000.pttraining_log.jsonl for training provenance128k/
best_model.ptcheckpoint_step*.ptWith the curated CAIRN Institute GitHub repository, these checkpoints support:
scripts/describe_checkpoint.py <checkpoint>scripts/train.py ... --init-from <best_model.pt>scripts/train.py ... --resume-from <checkpoint_step*.pt> where availablescripts/generate_dac_9cb_unified.py --checkpoint <checkpoint>10k/
audio_large_swa_moe_sanctsound_humpback_dac_9cb_10k.yaml32k/
audio_medium_swa_moe_sanctsound_humpback_dac_9cb_32k.yaml128k/
audio_medium_nsa_moe_sanctsound_humpback_dac_9cb_128k.yamlPYTHONPATH=. python3 scripts/generate_dac_9cb_unified.py --checkpoint 10k/best_model.pt
PYTHONPATH=. python3 scripts/generate_dac_9cb_unified.py --checkpoint 32k/best_model.pt
PYTHONPATH=. python3 scripts/generate_dac_9cb_unified.py --checkpoint 128k/best_model.pt
The Project DoLittle model weights, configurations, and documentation are licensed under the Apache License 2.0. See NOTICE for required attribution and the SanctSound source-data citation. NOAA, NCEI, the NOAA Office of National Marine Sanctuaries, and the U.S. Navy do not endorse CAIRN Institute, Project DoLittle, or derived products.