Instructions to use zai-org/visualglm-6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/visualglm-6b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zai-org/visualglm-6b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00004-of-00005.bin from zai-org/visualglm-6b: direct link, hf CLI and curl.
- Browser
- Download file 3.97 GB
-
https://huggingface.co/zai-org/visualglm-6b/resolve/main/pytorch_model-00004-of-00005.bin
- Command line
-
hf download hf://zai-org/visualglm-6b/pytorch_model-00004-of-00005.bin
-
curl -L -o pytorch_model-00004-of-00005.bin https://huggingface.co/zai-org/visualglm-6b/resolve/main/pytorch_model-00004-of-00005.bin
3.97 GB
- Xet hash:
- 2d6a0bd5117063eb871c646fe48030477b28c45c56bd2e84a02e23785a984819
- Size of remote file:
- 3.97 GB
- SHA256:
- ebcf9b0093872158662bfd283085d35636bfbb8f08c79a3a8396acdddce0444d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.