Instructions to use toolevalxm/VoiceSynthAI-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/VoiceSynthAI-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="toolevalxm/VoiceSynthAI-TestRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("toolevalxm/VoiceSynthAI-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from toolevalxm/VoiceSynthAI-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 42 Bytes
-
https://huggingface.co/toolevalxm/VoiceSynthAI-TestRepo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://toolevalxm/VoiceSynthAI-TestRepo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/toolevalxm/VoiceSynthAI-TestRepo/resolve/main/pytorch_model.bin
42 Bytes
- Xet hash:
- 9bb7823315f32711dabe76e432a2ffd386ed56a02a08fe7f107b421a3cc1d83f
- Size of remote file:
- 42 Bytes
- SHA256:
- 2f4bc82a9c6831ceac1ebd26de9688dd9238de6b1f03de8aef9a9676b5f93646
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