Instructions to use FirstPotatoCoder/Furina_3e_fft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/Furina_3e_fft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/Furina_3e_fft")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/Furina_3e_fft") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/Furina_3e_fft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 230 Bytes
e63fa79 | 1 2 3 4 5 6 7 8 9 10 11 | {
"bos_token_id": 128000,
"depth_decoder_do_sample": true,
"depth_decoder_temperature": 0.9,
"do_sample": true,
"max_new_tokens": 125,
"pad_token_id": 128002,
"temperature": 0.9,
"transformers_version": "4.52.3"
}
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