Instructions to use codefuse-ai/CodeFuse-CodeGeeX2-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefuse-ai/CodeFuse-CodeGeeX2-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/CodeFuse-CodeGeeX2-6B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codefuse-ai/CodeFuse-CodeGeeX2-6B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from codefuse-ai/CodeFuse-CodeGeeX2-6B: direct link, hf CLI and curl.
- Browser
- Download file 90 Bytes
-
https://huggingface.co/codefuse-ai/CodeFuse-CodeGeeX2-6B/resolve/main/generation_config.json
- Command line
-
hf download hf://codefuse-ai/CodeFuse-CodeGeeX2-6B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/codefuse-ai/CodeFuse-CodeGeeX2-6B/resolve/main/generation_config.json
90 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 2, | |
| "transformers_version": "4.33.2" | |
| } | |