Instructions to use ysn-rfd/MODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ysn-rfd/MODEL with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("ysn-rfd/MODEL", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from ysn-rfd/MODEL: direct link, hf CLI and curl.
- Browser
- Download file 188 Bytes
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https://huggingface.co/ysn-rfd/MODEL/resolve/main/README.md
- Command line
-
hf download hf://ysn-rfd/MODEL/README.md
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curl -L -o README.md https://huggingface.co/ysn-rfd/MODEL/resolve/main/README.md
188 Bytes
metadata
license: mit
datasets:
- vikp/textbook_quality_programming
language:
- en
metrics:
- accuracy
library_name: adapter-transformers
pipeline_tag: text-classification
tags:
- chemistry