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
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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
metadata
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