Instructions to use DM000/model-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use DM000/model-test with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("DM000/model-test", set_active=True) - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - pytorch | |
| - deep-learning | |
| - custom-model | |
| - feature-extraction # Replace with the actual task | |
| license: apache-2.0 | |
| --- | |
| # 🚀 Model Name: model-test | |
| This is a custom PyTorch model trained for **[task name]** (e.g., regression, classification, etc.). | |
| It was trained on **[dataset name]** and optimized using **[optimizer]**. | |