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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11cb3760875b2cb3a731d6dae1a4de2fc9e34e9935ced24da4ae6aeb4f083338
- Size of remote file:
- 5.47 GB
- SHA256:
- e0f5d211ab6c42228c2a5712c11fe0616ef6cafe22178e8dc8ce867dc9c57e34
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