Instructions to use Reddington05/Neptune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Reddington05/Neptune with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Reddington05/Neptune", set_active=True) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Reddington05/Neptune: direct link, hf CLI and curl.
- Browser
- Download file 289 Bytes
-
https://huggingface.co/Reddington05/Neptune/resolve/main/README.md
- Command line
-
hf download hf://Reddington05/Neptune/README.md
-
curl -L -o README.md https://huggingface.co/Reddington05/Neptune/resolve/main/README.md
289 Bytes
| license: bigscience-openrail-m | |
| datasets: | |
| - microsoft/orca-agentinstruct-1M-v1 | |
| language: | |
| - ar | |
| metrics: | |
| - character | |
| base_model: | |
| - Qwen/Qwen2.5-Coder-32B-Instruct | |
| new_version: Qwen/Qwen2.5-Coder-32B-Instruct | |
| pipeline_tag: translation | |
| library_name: adapter-transformers | |
| tags: | |
| - climate | |