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 generation_config.json from codefuse-ai/CodeFuse-DevOps-Model-7B-Chat: direct link, hf CLI and curl.
- Browser
- Download file 221 Bytes
-
https://huggingface.co/codefuse-ai/CodeFuse-DevOps-Model-7B-Chat/resolve/main/generation_config.json
- Command line
-
hf download hf://codefuse-ai/CodeFuse-DevOps-Model-7B-Chat/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/codefuse-ai/CodeFuse-DevOps-Model-7B-Chat/resolve/main/generation_config.json
221 Bytes
| { | |
| "chat_format": "chatml", | |
| "eos_token_id": 151643, | |
| "pad_token_id": 151643, | |
| "max_window_size": 6144, | |
| "max_new_tokens": 512, | |
| "do_sample": true, | |
| "top_k": 0, | |
| "top_p": 0.5, | |
| "transformers_version": "4.31.0" | |
| } | |