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:
- 7a7f3861765131a58cf7be7ffd5ee30cda6b3919f980d44af30c319aa6af8d6d
- Size of remote file:
- 9.97 GB
- SHA256:
- dc4115fd7eb8c6a2b2e3bdfe34765ee87e729dd480f3a6ce68fe26708d7b9fc7
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