Instructions to use sikanderHayat/Performance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use sikanderHayat/Performance with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("sikanderHayat/Performance", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from sikanderHayat/Performance: direct link, hf CLI and curl.
- Browser
- Download file 157 Bytes
-
https://huggingface.co/sikanderHayat/Performance/resolve/main/README.md
- Command line
-
hf download hf://sikanderHayat/Performance/README.md
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curl -L -o README.md https://huggingface.co/sikanderHayat/Performance/resolve/main/README.md
157 Bytes
| language: | |
| - en | |
| base_model: | |
| - deepseek-ai/DeepSeek-R1 | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| pipeline_tag: any-to-any | |
| library_name: adapter-transformers | |