Instructions to use dnnsdunca/Ddroidlabs-Codex-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use dnnsdunca/Ddroidlabs-Codex-mini with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("dnnsdunca/Ddroidlabs-Codex-mini", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download devops-agent.py from dnnsdunca/Ddroidlabs-Codex-mini: direct link, hf CLI and curl.
- Browser
- Download file 381 Bytes
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https://huggingface.co/dnnsdunca/Ddroidlabs-Codex-mini/resolve/1f6a5b975cd55080cbe24588f67e499c8e898d80/devops-agent.py
- Command line
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hf download hf://dnnsdunca/Ddroidlabs-Codex-mini@1f6a5b975cd55080cbe24588f67e499c8e898d80/devops-agent.py
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curl -L -o devops-agent.py https://huggingface.co/dnnsdunca/Ddroidlabs-Codex-mini/resolve/1f6a5b975cd55080cbe24588f67e499c8e898d80/devops-agent.py
381 Bytes
| # devops_agent.py | |
| class DevOpsAgent: | |
| def __init__(self, model, tokenizer): | |
| self.model = model | |
| self.tokenizer = tokenizer | |
| def process(self, task_data): | |
| inputs = self.tokenizer(task_data['task'], return_tensors='pt') | |
| outputs = self.model.generate(**inputs) | |
| return self.tokenizer.decode(outputs[0], skip_special_tokens=True) | |