Instructions to use transZ/parex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transZ/parex with Transformers:
# Load model directly from transformers import ParExGenerator model = ParExGenerator.from_pretrained("transZ/parex", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6d762c9e1eec73af202f618aaa3837384a9ae141832815a6577fc43a78d86a4
- Size of remote file:
- 714 MB
- SHA256:
- 32aff3f55d1282b2d765c39b01bebea7be7f2df571c0c44e965d62a99b0a11ac
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