Instructions to use razaobj/ttc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use razaobj/ttc with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("razaobj/ttc") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - teknium/OpenHermes-2.5 | |
| - nvidia/OpenMathInstruct-1 | |
| - argilla/OpenHermesPreferences | |
| - CohereForAI/aya_collection | |
| language: | |
| - ak | |
| - ab | |
| - as | |
| - aa | |
| metrics: | |
| - accuracy | |
| - brier_score | |
| - charcut_mt | |
| library_name: flair | |
| pipeline_tag: feature-extraction | |
| tags: | |
| - chemistry | |
| - biology | |
| - music | |
| - medical | |