Instructions to use codefuse-ai/CodeFuse-CodeGeeX2-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefuse-ai/CodeFuse-CodeGeeX2-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/CodeFuse-CodeGeeX2-6B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codefuse-ai/CodeFuse-CodeGeeX2-6B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 093353fd62328671c6bb134c19a79325cabd6cf533e660805edc336214cc31f0
- Size of remote file:
- 2.5 GB
- SHA256:
- d68be1e18f6edc3d9be31977569c407d7c5c15757f49a27e642d83be02d11762
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