Instructions to use rk-8/hm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use rk-8/hm with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("rk-8/hm", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from rk-8/hm: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
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https://huggingface.co/rk-8/hm/resolve/main/README.md
- Command line
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hf download hf://rk-8/hm/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/rk-8/hm/resolve/main/README.md
168 Bytes
metadata
datasets:
- fka/awesome-chatgpt-prompts
language:
- en
metrics:
- accuracy
pipeline_tag: text2text-generation
tags:
- biology
library_name: adapter-transformers