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:
- 4b3995391c8c4c0655b2828d1ffc9af3c0e9e29307dd7df2f653499854114efc
- Size of remote file:
- 9.8 GB
- SHA256:
- f2e79779ae9b6c74a6433c57c516657e6d4b6dd3e229159f8009617700fe5223
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