Instructions to use katuni4ka/tiny-random-chatglm2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use katuni4ka/tiny-random-chatglm2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="katuni4ka/tiny-random-chatglm2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("katuni4ka/tiny-random-chatglm2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20ed89a38b3f8f5134e01e131850ff536777c730e773f21e6ea01c3f1c833840
- Size of remote file:
- 4.86 kB
- SHA256:
- fc684d11dd0b8d8ac3d7cb497cff6d6be0056ae157c6de5c0140726275e6eb86
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