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:
- eb95f90619c32cb98f32bde22fb749eab265cca56a0cb8b157ccb8dde0a07602
- Size of remote file:
- 12.5 GB
- SHA256:
- 71c27feacd313d4b4388dc970158862d8f97bb3335f24a190737b6ce7d99154e
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