Instructions to use amtam0/timer-ner-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use amtam0/timer-ner-fr with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("amtam0/timer-ner-fr") - Notebooks
- Google Colab
- Kaggle
This model is used in the Speech Interval Timer app
7-class NER French model using Flair TransformerWordEmbeddings - camembert-base.
| tag | meaning |
|---|---|
| nb_rounds | Number of rounds |
| duration_br_sd | Duration btwn rounds in seconds |
| duration_br_min | Duration btwn rounds in minutes |
| duration_br_hr | Duration btwn rounds in hours |
| duration_wt_sd | workout duration in seconds |
| duration_wt_min | workout duration in minutes |
| duration_wt_hr | workout duration in hours |
Synthetic dataset has been used (perfectible). Sentences example in the widget.
- Downloads last month
- 7