Instructions to use Biplav123/Nep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Biplav123/Nep with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Biplav123/Nep", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Biplav123/Nep: direct link, hf CLI and curl.
- Browser
- Download file 222 Bytes
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https://huggingface.co/Biplav123/Nep/resolve/main/README.md
- Command line
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hf download hf://Biplav123/Nep/README.md
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curl -L -o README.md https://huggingface.co/Biplav123/Nep/resolve/main/README.md
222 Bytes
| license: openrail | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| language: | |
| - ab | |
| metrics: | |
| - accuracy | |
| - bertscore | |
| - bleu | |
| library_name: adapter-transformers | |
| pipeline_tag: summarization | |
| tags: | |
| - biology | |
| - finance | |
| - legal | |
| - art | |