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:
- fdd0d2ca96e75102f59d9109fae13f9dbde462bcb25c2832589723134657f251
- Size of remote file:
- 9.97 GB
- SHA256:
- 7eacb8b107e39915821c279ce2d984cc8aaeca86931cbb2028aa507c5ae80a8f
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