Instructions to use Taroom2002/Abdo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Taroom2002/Abdo with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Taroom2002/Abdo", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Taroom2002/Abdo: direct link, hf CLI and curl.
- Browser
- Download file 251 Bytes
-
https://huggingface.co/Taroom2002/Abdo/resolve/main/README.md
- Command line
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hf download hf://Taroom2002/Abdo/README.md
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curl -L -o README.md https://huggingface.co/Taroom2002/Abdo/resolve/main/README.md
251 Bytes
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceFW/fineweb-2 | |
| language: | |
| - ar | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - deepseek-ai/DeepSeek-V3-Base | |
| new_version: meta-llama/Llama-3.3-70B-Instruct | |
| pipeline_tag: summarization | |
| library_name: adapter-transformers | |