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:
- cc91b7b08b99eb47044188da3035a7bcb0c26a0c7204270855ed6d1b6ba109ae
- Size of remote file:
- 9.8 GB
- SHA256:
- d4a73980ca4da20f80f1dcc4114853d962cdead878c4b10a8160e1722cab9b4e
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