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:
- 28df0fbae6eac903f544be7eb2efff272be7f1989c058a1f83648e5ae8552c6f
- Size of remote file:
- 9.97 GB
- SHA256:
- 54a9e9f2928636c73304e413322daa9b90008fb7b63eca553a4b6c740a089cbf
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