Loading README.md +2 −1 Original line number Diff line number Diff line Loading @@ -95,7 +95,8 @@ wav2vec = HubertWithKmeans( semantic_transformer = SemanticTransformer( num_semantic_tokens = wav2vec.codebook_size, dim = 1024, depth = 6 depth = 6, audio_text_condition = True # this must be set to True (same for CoarseTransformer and FineTransformers) ).cuda() trainer = SemanticTransformerTrainer( Loading setup.py +2 −2 Original line number Diff line number Diff line Loading @@ -3,7 +3,7 @@ from setuptools import setup, find_packages setup( name = 'musiclm-pytorch', packages = find_packages(exclude=[]), version = '0.0.7', version = '0.0.8', license='MIT', description = 'MusicLM - AudioLM + Audio CLIP to text to music synthesis', author = 'Phil Wang', Loading @@ -19,7 +19,7 @@ setup( 'contrastive learning' ], install_requires=[ 'audiolm-pytorch>=0.9.2', 'audiolm-pytorch>=0.9.3', 'beartype', 'einops>=0.4', 'vector-quantize-pytorch>=1.0.0', Loading Loading
README.md +2 −1 Original line number Diff line number Diff line Loading @@ -95,7 +95,8 @@ wav2vec = HubertWithKmeans( semantic_transformer = SemanticTransformer( num_semantic_tokens = wav2vec.codebook_size, dim = 1024, depth = 6 depth = 6, audio_text_condition = True # this must be set to True (same for CoarseTransformer and FineTransformers) ).cuda() trainer = SemanticTransformerTrainer( Loading
setup.py +2 −2 Original line number Diff line number Diff line Loading @@ -3,7 +3,7 @@ from setuptools import setup, find_packages setup( name = 'musiclm-pytorch', packages = find_packages(exclude=[]), version = '0.0.7', version = '0.0.8', license='MIT', description = 'MusicLM - AudioLM + Audio CLIP to text to music synthesis', author = 'Phil Wang', Loading @@ -19,7 +19,7 @@ setup( 'contrastive learning' ], install_requires=[ 'audiolm-pytorch>=0.9.2', 'audiolm-pytorch>=0.9.3', 'beartype', 'einops>=0.4', 'vector-quantize-pytorch>=1.0.0', Loading