Instructions to use dnnsdunca/DtechCodeDemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use dnnsdunca/DtechCodeDemon with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("dnnsdunca/DtechCodeDemon", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from dnnsdunca/DtechCodeDemon: direct link, hf CLI and curl.
- Browser
- Download file 216 Bytes
-
https://huggingface.co/dnnsdunca/DtechCodeDemon/resolve/07e1e008ea296ec1adf896a8b9902020eef1ac1d/README.md
- Command line
-
hf download hf://dnnsdunca/DtechCodeDemon@07e1e008ea296ec1adf896a8b9902020eef1ac1d/README.md
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curl -L -o README.md https://huggingface.co/dnnsdunca/DtechCodeDemon/resolve/07e1e008ea296ec1adf896a8b9902020eef1ac1d/README.md
216 Bytes
metadata
license: apache-2.0
datasets:
- HuggingFaceTB/cosmopedia
- bigcode/the-stack-v2
- m-a-p/Code-Feedback
language:
- en
metrics:
- bertscore
- code_eval
- accuracy
library_name: adapter-transformers
tags:
- code