Instructions to use sunzeyeah/glm-350M-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sunzeyeah/glm-350M-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sunzeyeah/glm-350M-chinese", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sunzeyeah/glm-350M-chinese", trust_remote_code=True) model = AutoModel.from_pretrained("sunzeyeah/glm-350M-chinese", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e17b4df6038f9ce338c39b28ee55a187b46692142baba910aaa657a1cf979da7
- Size of remote file:
- 711 MB
- SHA256:
- 6d797cfd353cde41644b62fef5badb36e8b4a0abfa262360401b61caaa73234b
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