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:
- 41d2487ad8ea785b99814b72409c89c50fd5015880c5607a4b8438182afab266
- Size of remote file:
- 14.7 MB
- SHA256:
- 43a8fb38d0b670310d5f3ab05a8d4fd5be0733c9ab19fe9dd35645be932a1377
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