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:
- fdb4d2a0301fadc4393914604625634afeaf1b03f5726c1f0bb7dce1bf2201fe
- Size of remote file:
- 9.63 GB
- SHA256:
- 1be625c98aa5de6f5e4ca7d84e4cb9630a438818dac5390ea2c53da77903f5d4
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