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
Is this trained the same way as 6B model, and the only difference is the model size?
#6
by huashiyiqike - opened
which one is better if GPU memory is not a concern?
中文开源的有10B的版本,以及加入指令微调以及人工反馈强化学习后的ChatGLM-6B。