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)# pip install -U transformers accelerate # 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
Download configuration.json from codefuse-ai/CodeFuse-DevOps-Model-7B-Chat: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
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https://huggingface.co/codefuse-ai/CodeFuse-DevOps-Model-7B-Chat/resolve/main/configuration.json
- Command line
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hf download hf://codefuse-ai/CodeFuse-DevOps-Model-7B-Chat/configuration.json
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curl -L -o configuration.json https://huggingface.co/codefuse-ai/CodeFuse-DevOps-Model-7B-Chat/resolve/main/configuration.json
40 Bytes
| {"framework":"Pytorch","task":"chatbot"} |