Instructions to use codefuse-ai/CodeFuse-DevOps-Model-7B-Base 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-Base 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-Base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codefuse-ai/CodeFuse-DevOps-Model-7B-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9452caeec30e01f5a191cb677574c68b2f748b11112078bcac81c1b47a9c8c04
- Size of remote file:
- 5.47 GB
- SHA256:
- bf2933dbfd917f2bb3c590fc5cf3a25b0d8db8f12cc97d4fe9b5c9179c99769e
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