# amtam0 /speech-timer

 1 --- 2 tags: 3 - flair 4 - token-classification 5 - sequence-tagger-model 6 language: fr 7 widget: 8 - text: "12 séries de 2 minutes 38 minutes entre série" 9 10 --- 11 #### This model is used in the [Speech Interval Timer app](https://medium.com/@amtam0/speech-interval-timer-app-using-transformers-1df8fa3821d5) 12 13 7-class NER French model using [Flair TransformerWordEmbeddings - camembert-base](https://github.com/flairNLP/flair/). 14 15 | **tag** | **meaning** | 16 |---------------------------------|-----------| 17 | nb_rounds | Number of rounds |  18 | duration_br_sd | Duration btwn rounds in seconds |  19 | duration_br_min | Duration btwn rounds in minutes |  20 | duration_br_hr | Duration btwn rounds in hours |  21 | duration_wt_sd | workout duration in seconds |  22 | duration_wt_min | workout duration in minutes |  23 | duration_wt_hr | workout duration in hours |  24 --- 25 The dataset was created manually (perfectible). Sentences example :  26  27 19 séries de 3 minutes 21 minutes entre chaque série 28 préparer 7 sets de 32 secondes 29 lance 13 séries de 26 secondes 30 initie 8 series de 3 minutes 31 2 séries de 30 secondes 35 minutes entre chaque série 32 ... 33