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Haopeng/CROTTC-IF-l2-arctic
CROTTC-IF-l2-arctic is a automatic speech recognition model from Haopeng. Use it when you need speech turned into text. It is set up for speechbrain.
This repository is a standalone IF-MDD inference bundle. It includes the complete model.ckpt and perceivedssl.ckpt inference state, the verified 44-label encoder, bundle-local WavLM configuration, and all runtime modu…
Downloads · 30 days
73
41% of all-time downloads
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.ckpt1.3 GB · 100%
From the Hugging Face model README
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.
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
pip install -r requirements.txt
python custom_interface.py \
--hparams-file hyperparams.yaml \
--audio /path/to/audio.wav \
--override ctc_decode_weight=0.99
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.