Instructions to use Z3K3/jubbaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Z3K3/jubbaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Z3K3/jubbaModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("Z3K3/jubbaModel") model = AutoModelForTextToWaveform.from_pretrained("Z3K3/jubbaModel") - Notebooks
- Google Colab
- Kaggle
Add the model file
Browse files- lm_final.pt +3 -0
lm_final.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:871f0f93505aaacc91f28b32703db8c393f7f49441d1fd4c20f52e055de1603b
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size 7355196682
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