Instructions to use budxeedev/akseAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use budxeedev/akseAI with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("budxeedev/akseAI", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from budxeedev/akseAI: direct link, hf CLI and curl.
- Browser
- Download file 324 Bytes
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https://huggingface.co/budxeedev/akseAI/resolve/main/README.md
- Command line
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hf download hf://budxeedev/akseAI/README.md
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curl -L -o README.md https://huggingface.co/budxeedev/akseAI/resolve/main/README.md
324 Bytes
| license: apache-2.0 | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - microsoft/phi-4 | |
| - hexgrad/Kokoro-82M | |
| new_version: microsoft/phi-4 | |
| pipeline_tag: text-generation | |
| library_name: adapter-transformers | |
| tags: | |
| - code | |
| - biology | |
| - art | |
| - music | |
| - legal | |
| - text-generation-inference | |