Instructions to use wolfram/miquliz-120b-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wolfram/miquliz-120b-v2.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wolfram/miquliz-120b-v2.0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fcf109e157b28846ea8fc42a411e76e2d4cfe8208bb0e20bffee461ff0285e6
- Size of remote file:
- 9.93 GB
- SHA256:
- 6e269f62164b802b38c7ba87df980d30b221c7be9678c6bfbbc3475ac648bdf2
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