Instructions to use zai-org/glm-10b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/glm-10b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zai-org/glm-10b", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zai-org/glm-10b", trust_remote_code=True) model = AutoModel.from_pretrained("zai-org/glm-10b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 265881688e8f6fc00daf22803232561627385bc7a523501b75fca9606369fa1f
- Size of remote file:
- 19.8 GB
- SHA256:
- 5e052c43c1a46a89ed0165730abdc0fb590e35a5280f587d6f1eda5b25eaa596
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