Instructions to use rmd26/Coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use rmd26/Coder with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("rmd26/Coder", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| - bingbangboom/fka-awesome-chatgpt-prompts-hindi | |
| - HuggingFaceFW/fineweb-2 | |
| - hackaprompt/Pliny_HackAPrompt_Dataset | |
| - nvidia/OpenScience | |
| - nvidia/AceReason-1.1-SFT | |
| language: | |
| - en | |
| - sk | |
| - cs | |
| - hu | |
| - pl | |
| - de | |
| - es | |
| metrics: | |
| - bertscore | |
| - character | |
| - code_eval | |
| - accuracy | |
| - bleu | |
| - cer | |
| - charcut_mt | |
| - chrf | |
| - bleurt | |
| base_model: | |
| - tencent/Hunyuan-A13B-Instruct | |
| - google/gemma-3n-E4B-it | |
| - google/gemma-3n-E4B-it-litert-preview | |
| - black-forest-labs/FLUX.1-Kontext-dev | |
| - google/magenta-realtime | |
| - Menlo/Jan-nano | |
| - nanonets/Nanonets-OCR-s | |
| - THUDM/GLM-4.1V-9B-Thinking | |
| - tencent/Hunyuan3D-2.1 | |
| - moonshotai/Kimi-K2-Instruct | |
| new_version: black-forest-labs/FLUX.1-Kontext-dev | |
| library_name: adapter-transformers | |