Instructions to use microsoft/Magma-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/Magma-8B with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("microsoft/Magma-8B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45896113935533166cd174ad3af5de3a3cc972cf541079e038a6cc1187fbcf1d
- Size of remote file:
- 4.98 GB
- SHA256:
- 7d35ca3773f08f5ec8a3df3e2bbf2dadf76255c8ae80018554fc538e21416294
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