Instructions to use zai-org/glm-4-9b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/glm-4-9b-chat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zai-org/glm-4-9b-chat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 158f3aabd9ca77150d53717e6625a64a78798c97bd356f06368716adb04641ce
- Size of remote file:
- 1.95 GB
- SHA256:
- d0040c9cf0d4d0553c4156dbd890437788ba43237037e1f9c4a3c1a3ddfad1f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.