Instructions to use Ruvi007/Model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Ruvi007/Model2 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Ruvi007/Model2", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Ruvi007/Model2: direct link, hf CLI and curl.
- Browser
- Download file 170 Bytes
-
https://huggingface.co/Ruvi007/Model2/resolve/main/README.md
- Command line
-
hf download hf://Ruvi007/Model2/README.md
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curl -L -o README.md https://huggingface.co/Ruvi007/Model2/resolve/main/README.md
170 Bytes
metadata
license: apache-2.0
datasets:
- fka/awesome-chatgpt-prompts
- gsdf/EasyNegative
language:
- en
library_name: adapter-transformers
pipeline_tag: question-answering