Instructions to use sunzeyeah/glm-10B-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sunzeyeah/glm-10B-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sunzeyeah/glm-10B-chinese", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sunzeyeah/glm-10B-chinese", trust_remote_code=True) model = AutoModel.from_pretrained("sunzeyeah/glm-10B-chinese", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7f7c4582b6c8b15eef5ea43d8da0b412d3e507445a059aeed99c366d1b585b4
- Size of remote file:
- 19.8 GB
- SHA256:
- fbd10c65f201bbd194cffee0c4d5f4dbceda27338878ec5e43a9eb2f58e28986
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