Instructions to use zai-org/chatglm3-6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/chatglm3-6b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zai-org/chatglm3-6b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00002-of-00007.bin from zai-org/chatglm3-6b: direct link, hf CLI and curl.
- Browser
- Download file 1.97 GB
-
https://huggingface.co/zai-org/chatglm3-6b/resolve/main/pytorch_model-00002-of-00007.bin
- Command line
-
hf download hf://zai-org/chatglm3-6b/pytorch_model-00002-of-00007.bin
-
curl -L -o pytorch_model-00002-of-00007.bin https://huggingface.co/zai-org/chatglm3-6b/resolve/main/pytorch_model-00002-of-00007.bin
1.97 GB
- Xet hash:
- 43fa2f282e5a23502c99d31422e47f997a6c4a8ebabe51593640dbaa1c8f7f78
- Size of remote file:
- 1.97 GB
- SHA256:
- 4ad41534016ac4a2431fa2d4b08efbe28f963744135ec52b2ea13cc86730fa2a
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