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:
- 119a96af2ed844f978be4b9186a014a1ba8adcc4af5597154174592941433258
- Size of remote file:
- 9.83 GB
- SHA256:
- c1f7256a50b5049d003294e8f6b16ac4133562c591194306051631b41dbf4c01
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