Instructions to use Ekanabasi/formation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Ekanabasi/formation with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Ekanabasi/formation", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - facebook/research-plan-gen | |
| language: | |
| - ab | |
| metrics: | |
| - bertscore | |
| base_model: | |
| - Lightricks/LTX-2 | |
| new_version: Lightricks/LTX-2 | |
| pipeline_tag: summarization | |
| library_name: adapter-transformers | |
| tags: | |
| - legal | |
| --- | |
| license: apache-2.0 | |
| datasets: | |
| - facebook/research-plan-gen | |
| language: | |
| - ab | |
| metrics: | |
| - bertscore | |
| base_model: | |
| - zai-org/GLM-4.7 | |
| new_version: zai-org/GLM-4.7 | |
| pipeline_tag: token-classification | |
| library_name: adapter-transformers | |
| tags: | |
| - finance | |
| --- formation |