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:
- a6292e5c79457745118758e6d9d65139ae316a51ef3f8ae8c7e3282260774802
- Size of remote file:
- 9.93 GB
- SHA256:
- 0456ec80cb0ce551e0d5faf3e030b5467085dfc1241809cbefcd29944983929c
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