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
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README.md
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@@ -36,7 +36,7 @@ We first selected a total of six exams related to DevOps in the two evaluation d
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We tested the results of Zero-shot and Five-shot respectively. Our 7B and 14B series models can achieve the best results among the tested models. More tests will be released later.
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|Model|Zero-shot Score|Five-shot Score|
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|**DevOps-Model-7B-Base**|**7B**|**62.72**|**62.02**|
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|Qwen-7B-Base|7B|55.75|56.0|
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We tested the results of Zero-shot and Five-shot respectively. Our 7B and 14B series models can achieve the best results among the tested models. More tests will be released later.
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|Model|Size|Zero-shot Score|Five-shot Score|
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|--|--|--|--|
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|**DevOps-Model-7B-Base**|**7B**|**62.72**|**62.02**|
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|Qwen-7B-Base|7B|55.75|56.0|
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