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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72b91da5acfb3ae93c0067f4a83e7bb6291f1856322cda8ad64081702fde52dc
- Size of remote file:
- 5.47 GB
- SHA256:
- 0c71cc2275704065cbc08680f022e5dde9ac548c757b7a677145b21cc4705ebe
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