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:
- 2c1e47d281ed889d6ef487aaf40b0bac4437043725cffc8793de678148639f9d
- Size of remote file:
- 9.68 GB
- SHA256:
- 5267a871ea7d0e9b39a415233527c8b94ce91c5085780ebd411e446c5fc80dc7
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