Instructions to use michaelwaves/GLM-4.5-Air with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelwaves/GLM-4.5-Air with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelwaves/GLM-4.5-Air", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cb1d3ff8655d0ce955a565b7fa0a50a259c3f1a5485aa1aa268d0bbfe07bc95
- Size of remote file:
- 20 MB
- SHA256:
- bda8e2146c3bb7b7e0fc96dcc4f0aeff041c6c27952e3ace0665663ebff346ba
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