Instructions to use zhing23face/crypto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use zhing23face/crypto with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("zhing23face/crypto", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - nvidia/OpenCodeReasoning | |
| language: | |
| - av | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - Qwen/Qwen2.5-Omni-7B | |
| new_version: Qwen/Qwen2.5-Omni-7B | |
| pipeline_tag: text-to-speech | |
| library_name: adapter-transformers | |