Instructions to use FirstPotatoCoder/Furina_30e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/Furina_30e with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/Furina_30e")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/Furina_30e") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/Furina_30e", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download model.safetensors from FirstPotatoCoder/Furina_30e: direct link, hf CLI and curl.
- Browser
- Download file 4.15 GB
-
https://huggingface.co/FirstPotatoCoder/Furina_30e/resolve/main/model.safetensors
- Command line
-
hf download hf://FirstPotatoCoder/Furina_30e/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/FirstPotatoCoder/Furina_30e/resolve/main/model.safetensors
4.15 GB
- Xet hash:
- a6812269a8a015011e0857ef03bba532998b055d4d96239cb03cdf4a3532d26c
- Size of remote file:
- 4.15 GB
- SHA256:
- cf08ff9d50347cc8f5682b67611ee283d69a7e75bd7fe3406f93f49e4315b172
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