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:
- 0217620b238a322f96fd18fb20f164dc1f0d9e271f0a0ef398ee69ac9ec08f40
- Size of remote file:
- 9.97 GB
- SHA256:
- aa5b944d17441943b1cc88615afa0b01ab4f63cc9f20d9585151dc5c5eb925e1
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