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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codefuse-ai/CodeFuse-DevOps-Model-7B-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download requirements.txt from codefuse-ai/CodeFuse-DevOps-Model-7B-Base: direct link, hf CLI and curl.
- Browser
- Download file 110 Bytes
-
https://huggingface.co/codefuse-ai/CodeFuse-DevOps-Model-7B-Base/resolve/main/requirements.txt
- Command line
-
hf download hf://codefuse-ai/CodeFuse-DevOps-Model-7B-Base/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/codefuse-ai/CodeFuse-DevOps-Model-7B-Base/resolve/main/requirements.txt
110 Bytes
| transformers==4.32.0 | |
| accelerate | |
| tiktoken | |
| einops | |
| scipy | |
| transformers_stream_generator==0.0.4 | |
| peft | |
| deepspeed |