Instructions to use Muhammadaneeq1/Fastaago with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Muhammadaneeq1/Fastaago with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Muhammadaneeq1/Fastaago", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceFW/finepdfs | |
| language: | |
| - en | |
| - ur | |
| - pa | |
| metrics: | |
| - code_eval | |
| base_model: | |
| - google/embeddinggemma-300m | |
| new_version: microsoft/VibeVoice-1.5B | |
| pipeline_tag: text-generation | |
| library_name: adapter-transformers | |