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:
- 312cac45857f35276086503ca01aa87df1e018a1af29f06880a054946fac91fd
- Size of remote file:
- 9.8 GB
- SHA256:
- 4909113d9ba9cdb0154d34aef1f5fc457629eaf2f67ed8fa9f21fbfa291035b4
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