Instructions to use braox/luis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use braox/luis with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("braox/luis", set_active=True) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from braox/luis: direct link, hf CLI and curl.
- Browser
- Download file 200 Bytes
-
https://huggingface.co/braox/luis/resolve/main/README.md
- Command line
-
hf download hf://braox/luis/README.md
-
curl -L -o README.md https://huggingface.co/braox/luis/resolve/main/README.md
200 Bytes
metadata
license: apache-2.0
datasets:
- fka/awesome-chatgpt-prompts
language:
- am
metrics:
- character
- accuracy
library_name: adapter-transformers
pipeline_tag: question-answering
tags:
- chemistry