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:
- 74f3b7e0ee47671422fae5b24c7d4312adb4c554817225f7630d47f181b3ceb7
- Size of remote file:
- 9.66 GB
- SHA256:
- 3468ea7ad4222b07a25ff6ff979ae68b644f4e731a8323f21d64d6880afdc22d
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