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:
- bd529aa9fad5d0c0c657ae50295cb77e82eee5498a450cbf902a40416252af48
- Size of remote file:
- 9.97 GB
- SHA256:
- 23d6c24bdf927f8429fc17cd18c2f9711f9c84baa07aa7fb7d2de4a55809c56e
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