readme: ---
  tags:
  - flair
  - token-classification
  - sequence-tagger-model
  language: fr
  widget:
  - text: 'génère 27 séries de 54 seconde '
  - text: ' 9 cycles de 17 minute '
  - text: 'initie 17 sets de 44 secondes 297 minutes entre séries'
  - text: ' 13 sets de 88 secondes 225 minutes 49 entre chaque série'
  - text: 'génère 39 séries de 19 minute 21 minute 45 entre séries'
  - text: 'débute 47 sets de 6 heures '
  - text: 'débute 1 cycle de 25 minutes 48 23 minute 32 entre chaque série'
  - text: 'commence 23 séries de 18 heure et demi 25 minutes 41 entre séries'
  - text: ' 13 cycles de 52 secondes '
  - text: 'crée 31 série de 60 secondes '
  - text: ' 7 set de 36 secondes 139 minutes 34 entre séries'
  - text: 'commence 37 sets de 51 minute 25 295 minute entre chaque série'
  - text: 'crée 11 cycles de 72 seconde 169 minute 15 entre chaque série'
  - text: 'initie 5 série de 33 minutes 48 '
  - text: 'crée 23 set de 1 minute 46 279 minutes 50 entre chaque série'
  - text: 'génère 41 série de 35 minutes 55 '
  - text: 'lance 11 cycles de 4 heures '
  - text: 'crée 47 cycle de 28 heure moins quart 243 minutes 45 entre chaque série'
  - text: 'initie 23 set de 36 secondes '
  - text: 'commence 37 sets de 24 heures et quart '
  
  ---
  #### This model is used in the [Speech Interval Timer app](https://medium.com/@amtam0/speech-interval-timer-app-using-transformers-1df8fa3821d5)
  
  7-class NER French model using [Flair TransformerWordEmbeddings - camembert-base](https://github.com/flairNLP/flair/).
  
  | **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.