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