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:
- 81ec451a524e1b913d8456829888758c804172e965c973236df43050081f0785
- Size of remote file:
- 9.99 GB
- SHA256:
- 445eee34a6866c25accc42b2438a4f55d9b13fbe37ac514ddaf73c6b93af2df0
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