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:
- b5249dd4717898cf1b09caedf9aaf784689bcb965d36d3ac4e92c4fb10fd869a
- Size of remote file:
- 9.97 GB
- SHA256:
- d75887f06ae4462f58a8c07421fb518e53d3073b5d019d20c63866d6a0cb03b4
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