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Can't load tokenizer for 't5-base'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 't5-base' is the correct path to a directory containing all relevant files for a T5Tokenizer tokenizer.
#457
Open
qiuyuzhao opened this issue
May 6, 2024
· 0 comments
for idx, one_wav in enumerate(wav):
# Will save under {idx}.wav, with loudness normalization at -14 db LUFS.
audio_write(f'{idx}', one_wav.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True)
Prompt error : OSError: Can't load tokenizer for 't5-base'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 't5-base' is the correct path to a directory containing all relevant files for a T5Tokenizer tokenizer.
The text was updated successfully, but these errors were encountered:
to run this code :
import torchaudio
from audiocraft.models import MusicGen
from audiocraft.data.audio import audio_write
model = MusicGen.get_pretrained('facebook/musicgen-small')
model.set_generation_params(duration=8) # generate 8 seconds.
wav = model.generate_unconditional(4) # generates 4 unconditional audio samples
descriptions = ['happy rock', 'energetic EDM', 'sad jazz']
wav = model.generate(descriptions) # generates 3 samples.
melody, sr = torchaudio.load('./assets/bach.mp3')
generates using the melody from the given audio and the provided descriptions.
wav = model.generate_with_chroma(descriptions, melody[None].expand(3, -1, -1), sr)
for idx, one_wav in enumerate(wav):
# Will save under {idx}.wav, with loudness normalization at -14 db LUFS.
audio_write(f'{idx}', one_wav.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True)
Prompt error : OSError: Can't load tokenizer for 't5-base'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 't5-base' is the correct path to a directory containing all relevant files for a T5Tokenizer tokenizer.
The text was updated successfully, but these errors were encountered: