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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a03b9ca030be3a35cd2f929e4cf04e84f171a795d3c888b78cea870bbb26309
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size 7340184
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