Instructions to use suno/bark-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suno/bark-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="suno/bark-small")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("suno/bark-small") model = AutoModelForTextToWaveform.from_pretrained("suno/bark-small") - Notebooks
- Google Colab
- Kaggle
Update speaker_embeddings_path.json
#21 opened 10 months ago
by
bezzam
How to - Language
#20 opened over 1 year ago
by
nand-tmp
Streaming
1
#19 opened over 1 year ago
by
xfoqw
Issue with Bark TTS pipeline example
➕ 5
#18 opened over 1 year ago
by
WpythonW
Update README.md
#15 opened over 2 years ago
by
Javeralopez
Timeout error
#14 opened over 2 years ago
by
Phanindra49
Adding `safetensors` variant of this model
#13 opened over 2 years ago
by
SFconvertbot
Advanced long-form generation
3
#12 opened over 2 years ago
by
skroed
internal server error: Inference API is down for the bark-small model?
👍➕ 1
#11 opened over 2 years ago
by
packmad
How to pass "history_prompt" in the API inference?
7
#10 opened over 2 years ago
by
vivasvan100
Model response via API
1
#7 opened over 2 years ago
by
pawtetik
Adding `safetensors` variant of this model
#6 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened over 2 years ago
by
SFconvertbot
The voice for pipeline batch call is not consistent
🤯 1
1
#4 opened over 2 years ago
by
slavik004
Cannot deploy inference model.
#1 opened almost 3 years ago
by
RadiantAI