Instructions to use SpongeBobFan2002/ElevenLabs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpongeBobFan2002/ElevenLabs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="SpongeBobFan2002/ElevenLabs")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpongeBobFan2002/ElevenLabs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from SpongeBobFan2002/ElevenLabs: direct link, hf CLI and curl.
- Browser
- Download file 262 Bytes
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https://huggingface.co/SpongeBobFan2002/ElevenLabs/resolve/main/README.md
- Command line
-
hf download hf://SpongeBobFan2002/ElevenLabs/README.md
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curl -L -o README.md https://huggingface.co/SpongeBobFan2002/ElevenLabs/resolve/main/README.md
262 Bytes
metadata
license: apache-2.0
datasets:
- Bluebomber182/Elevenlabs-Voices
- skypro1111/elevenlabs_dataset
- huseinzol05/voice-clone-dataset
metrics:
- accuracy
pipeline_tag: text-to-speech
tags:
- text-generation-inference
language:
- en
library_name: transformers