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:
- 4b3c2a1e53c6dc968783f7346419e8f6561eae4bdb2833ed23bc7b99cc2229c5
- Size of remote file:
- 9.93 GB
- SHA256:
- 07ad2d931edaafa4b77d4a1846baff44cfb04ffacbf53046951d3a0228eef670
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