this is trained off of pythia-160m.

this is over an 100k step model trained on around 6k songs.
the training on this is done.

https://mrcheeze.github.io/musenet-midi/ paste the numbers/musenet encoders you get from the ai into the big box and then click export midi 

{"license": "mit", "datasets": ["breadlicker45/6000-MuseNet-encoders"]}
transformers pytorch gpt_neox text-generation dataset:breadlicker45/6000-MuseNet-encoders license:mit autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #gpt_neox #text-generation #dataset-breadlicker45/6000-MuseNet-encoders #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

this is trained off of pythia-160m.

this is over an 100k step model trained on around 6k songs.
the training on this is done.

URL paste the numbers/musenet encoders you get from the ai into the big box and then click export midi 

TAGS
#transformers #pytorch #gpt_neox #text-generation #dataset-breadlicker45/6000-MuseNet-encoders #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

TAGS
#transformers #pytorch #gpt_neox #text-generation #dataset-breadlicker45/6000-MuseNet-encoders #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
