Instructions to use zai-org/glm-10b-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/glm-10b-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zai-org/glm-10b-chinese", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zai-org/glm-10b-chinese", trust_remote_code=True) model = AutoModel.from_pretrained("zai-org/glm-10b-chinese", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7c61271009463b3fce71693ccf0e0410392727570f808734289553e99f7f99d
- Size of remote file:
- 19.8 GB
- SHA256:
- 4070e0d118c25d0cd97606a0c9b284e724710ac696ad681e6080307c927cb73f
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