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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MAGAer13/mplug-youku-bloomz-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MAGAer13/mplug-youku-bloomz-7b: direct link, hf CLI and curl.
- Browser
- Download file 15 GB
-
https://huggingface.co/MAGAer13/mplug-youku-bloomz-7b/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MAGAer13/mplug-youku-bloomz-7b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MAGAer13/mplug-youku-bloomz-7b/resolve/main/pytorch_model.bin
15 GB
- Xet hash:
- 4f8d76989ffa140f97ab5d7bfee5c072df6605f4efdf7f46e08991f8a63c605c
- Size of remote file:
- 15 GB
- SHA256:
- 261beec7af4f099ef45ed31e70c08707aaaf9ae113a03090f587e80f57be8aae
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