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:
- 9424fb3fef49b7864271868892f568a0e5c3ce9b29716dc4345803fb2c6a58dc
- Size of remote file:
- 9.97 GB
- SHA256:
- f79b570ec0d928c0ff2ecf409ed182ed2dec78a50ee5f5242029e08c8b547046
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