Higgs_Codec_Extended

12
2
license:mit
by
Respair
Code Model
OTHER
New
12 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary

[](https://github.com/Respaired/HiggsCodecExtended) This is an on-going project. it is a modified version of Higgs-Boson audio tokenizer, you can fully train i...

Code Examples

Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator
Trainingbash
python train_boson_mixed_precision.py --data_csv "yourdata.csv" \ # full path to your audio files, the format can be anything .mp3 .wav .ogg etc.
                                      --config config.json --batch_size 42  \
                                      --use_mixed_precision \
                                      --use_discriminator

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