Instructions to use coagentdev/codeagent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coagentdev/codeagent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="coagentdev/codeagent")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("coagentdev/codeagent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - bigcode/the-stack | |
| - bigcode/the-stack-v2 | |
| - bigcode/starcoderdata | |
| language: | |
| - en | |
| metrics: | |
| - perplexity | |
| - code_eval | |
| - codeparrot/apps_metric | |
| base_model: | |
| - zai-org/GLM-5 | |
| - deepseek-ai/DeepSeek-R1 | |
| - deepseek-ai/DeepSeek-V3.2 | |
| - deepseek-ai/DeepSeek-V3 | |
| - Qwen/Qwen3-Coder-Next | |
| - zai-org/GLM-4.7-Flash | |
| - mlfoundations-dev/oh-dcft-v3.1-gemini-1.5-pro | |
| - DavidAU/Qwen3-30B-A3B-YOYO-V2-Claude-4.6-Opus-High-INSTRUCT | |
| - moonshotai/Kimi-K2.5 | |
| new_version: google/timesfm-2.5-200m-transformers | |
| pipeline_tag: table-question-answering | |
| library_name: transformers | |
| tags: | |
| - code | |