Instructions to use Naim99/Naim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Naim99/Naim with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Naim99/Naim", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Naim99/Naim: direct link, hf CLI and curl.
- Browser
- Download file 275 Bytes
-
https://huggingface.co/Naim99/Naim/resolve/main/README.md
- Command line
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hf download hf://Naim99/Naim/README.md
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curl -L -o README.md https://huggingface.co/Naim99/Naim/resolve/main/README.md
275 Bytes
| license: apache-2.0 | |
| datasets: | |
| - Congliu/Chinese-DeepSeek-R1-Distill-data-110k | |
| language: | |
| - ar | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - deepseek-ai/DeepSeek-R1 | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| pipeline_tag: text-to-video | |
| library_name: adapter-transformers | |
| tags: | |
| - art | |