Instructions to use codefuse-ai/CodeFuse-DevOps-Model-7B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefuse-ai/CodeFuse-DevOps-Model-7B-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/CodeFuse-DevOps-Model-7B-Chat", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codefuse-ai/CodeFuse-DevOps-Model-7B-Chat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fc3f4dbad92ab71c3b659f93f6eeeadd14cda8204c3f09a3bb48ab80ebf5960
- Size of remote file:
- 9.97 GB
- SHA256:
- 5e088e183a6a7bb4475e83172d9442d448d235333ed67a2b505fa805d44b3de5
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