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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7297f8787552dead45fecb1cc112fecc16a801580d10903a611754decec12fa1
- Size of remote file:
- 9.97 GB
- SHA256:
- e86ea9d704af1c1212c0b944be85d033affd01f4af71a69b4ecf193b0175dddd
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