Automatic Speech Recognition
Transformers
Safetensors
Saisiyat
wav2vec2
formosanbank
formosan
endangered-languages
speech
asr
xlsr53
tacl
Instructions to use FormosanBank/formosan-asr-saisiyat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-saisiyat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-saisiyat")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-saisiyat") model = AutoModelForCTC.from_pretrained("FormosanBank/formosan-asr-saisiyat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,188 Bytes
1579350 | 1 2 3 4 5 6 7 8 | step train_loss dev_loss selection_metric selection_scope selection_cer selection_wer macro_cell_cer macro_cell_wer macro_language_cer macro_language_wer micro_cer micro_wer dev_cells dev_languages dev_rows
1 21.27985954284668 19.994058513001306 decoded_dev_normalized_cer macro_cell 0.965583 1.000105 0.965583 1.000105 0.948863 1.000226 0.948863 1.000226 5 1 1190
7105 0.03559953719377518 0.4101992818783194 decoded_dev_normalized_cer macro_cell 0.096367 0.286279 0.096367 0.286279 0.079569 0.253559 0.079569 0.253559 5 1 1190
14210 0.0427422970533371 0.4840303489675858 decoded_dev_normalized_cer macro_cell 0.092797 0.267644 0.092797 0.267644 0.077902 0.236271 0.077902 0.236271 5 1 1190
21315 0.007264204788953066 0.578342515937734 decoded_dev_normalized_cer macro_cell 0.096725 0.267729 0.096725 0.267729 0.082294 0.238418 0.082294 0.238418 5 1 1190
28420 0.0392894484102726 0.6794542931395289 decoded_dev_normalized_cer macro_cell 0.094822 0.264003 0.094822 0.264003 0.083255 0.237175 0.083255 0.237175 5 1 1190
35524 0.033548079431056976 0.65875939322298 decoded_dev_normalized_cer macro_cell 0.101889 0.288365 0.101889 0.288365 0.087843 0.257401 0.087843 0.257401 5 1 1190
|