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:
- 0284100fcf61df20564c4fc915ad611b9a6f66e966307f22f9db66d16f9f62fc
- Size of remote file:
- 9.83 GB
- SHA256:
- 5b0b0e1dd2a23122838f66efda12b8445da99146d23347c090254a655e923624
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