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
-
hf download hf://Naim99/Naim/README.md
-
curl -L -o README.md https://huggingface.co/Naim99/Naim/resolve/main/README.md
275 Bytes
metadata
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