Instructions to use FirstPotatoCoder/Ayarina_10e_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/Ayarina_10e_lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/Ayarina_10e_lm")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/Ayarina_10e_lm") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/Ayarina_10e_lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
(Trained with Unsloth)
Browse files- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3ef5c19943cacbd3260f3529210716ce53dd4d94cdbbe0e8f5bf8d84a7e05f9
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size 4153376052
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