Instructions to use FirstPotatoCoder/Furina_3e_fft_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/Furina_3e_fft_lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/Furina_3e_fft_lm")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/Furina_3e_fft_lm") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/Furina_3e_fft_lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
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Unsloth Model Card
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