Instructions to use L1-m1ng/chatglm2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use L1-m1ng/chatglm2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("L1-m1ng/chatglm2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dbebaaa280ffd5ce6a68f4800880db315a21b74750c2d1df0ace896fb17f4f1
- Size of remote file:
- 4.19 MB
- SHA256:
- a09c79d979bf7c11c3c2c3262c96379419cf8c8067649b3c07476d2d54a75b37
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