Instructions to use chendelong/ChatGLM-PSP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chendelong/ChatGLM-PSP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chendelong/ChatGLM-PSP", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chendelong/ChatGLM-PSP", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 709efa9e005fb5e5c94f0be35817bf5ad278383b5d777f9000b211d77d9cd789
- Size of remote file:
- 627 Bytes
- SHA256:
- 789a1605f05260342a605be992efe3dec445d76b75c62bdef618345fc0105cc0
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