Instructions to use MAGAer13/mplug-youku-bloomz-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MAGAer13/mplug-youku-bloomz-7b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MAGAer13/mplug-youku-bloomz-7b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18df21c642d0e45e4e3d7817bebac91ad71ab31006d63120dc8821fe0da91f87
- Size of remote file:
- 14.5 MB
- SHA256:
- 3fa39cd4b1500feb205bcce3b9703a4373414cafe4970e0657b413f7ddd2a9d3
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