Haopeng/CROTTC-IF-l2-arctic

CROTTC-IF for L2-ARCTIC

This repository is a standalone IF-MDD inference bundle. It includes the complete model.ckpt and perceived_ssl.ckpt inference state, the verified 44-label encoder, bundle-local WavLM configuration, and all runtime modules needed by the wrapper, so loading does not contact Hugging Face.

Download

python -m pip install -U huggingface_hub
hf download Haopeng/CROTTC-IF-l2-arctic --local-dir CROTTC-IF-l2-arctic
cd CROTTC-IF-l2-arctic

Single WAV

pip install -r requirements.txt
python custom_interface.py \
  --hparams-file hyperparams.yaml \
  --audio /path/to/audio.wav \
  --override ctc_decode_weight=0.99

Repository Eval

With the main branch:

python train.py hparams/CROTTC_IF.yaml \
  --mode eval \
  --inference_ckpt /path/to/CROTTC-IF-l2-arctic

Set HF_HUB_OFFLINE=1 TRANSFORMERS_OFFLINE=1 to enforce offline loading. manifest.json records the required recoverables, architecture signature, defaults, and label-encoder SHA256.