Instructions to use transZ/misecom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transZ/misecom with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("transZ/misecom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96d056d71aedd5bef96f1164e9a273dc20e164222c0387168a00dc906d157658
- Size of remote file:
- 497 MB
- SHA256:
- 641a4e4216c2256265c13ac7009e7076b88bd783122bceb6916c60415c2401b5
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