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:
- 3428f6415cc54c7c04810c79e4f0f2369452af50056a14c20670a6be846d1001
- Size of remote file:
- 9.8 GB
- SHA256:
- cf464369a1c18111863ff99712b3e39d6b164d8aa510419e624ad1a57c416b59
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