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
-
https://huggingface.co/Biplav123/Nep/resolve/main/README.md
- Command line
-
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
metadata
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