Instructions to use artificial-feelings/bark-forked with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artificial-feelings/bark-forked with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="artificial-feelings/bark-forked")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("artificial-feelings/bark-forked") model = AutoModelForTextToWaveform.from_pretrained("artificial-feelings/bark-forked", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from artificial-feelings/bark-forked: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/artificial-feelings/bark-forked/resolve/main/tokenizer.json
- Command line
-
hf download hf://artificial-feelings/bark-forked/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/artificial-feelings/bark-forked/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.