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:
- 97509d71b1ba9beedff7e5b75d488b3dc4c982746af01486c1ed7f6d3b7eb592
- Size of remote file:
- 9.93 GB
- SHA256:
- 524b20e7ed3d7725be6e11a41b473e0be2c8d566af525de020db82966dce2687
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