Automatic Speech Recognition
Transformers
Safetensors
Sediq
whisper
formosanbank
formosan
endangered-languages
speech
asr
whisper-small
tacl
Instructions to use FormosanBank/formosan-asr-taroko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-taroko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-taroko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-taroko") model = AutoModelForSpeechSeq2Seq.from_pretrained("FormosanBank/formosan-asr-taroko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,470 Bytes
253f94b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
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"best_selection_metrics": {
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"selection_metric": "decoded_dev_normalized_cer",
"selection_scope": "macro_cell",
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"best_step": 1722,
"checkpoint_path": "/scratch/scheppat/projects/tacl_formosan_asr/runs_whisper_final_v1/whisper_small_pan_formosan_to_language_train-taroko_eval-taroko-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13/best_model",
"end_train_loss": 0.011313805356621742,
"generated_at": "2026-06-25T21:34:55+00:00",
"max_steps": 500,
"out_dir": "/scratch/scheppat/projects/tacl_formosan_asr/runs_whisper_final_v1/whisper_small_pan_formosan_to_language_train-taroko_eval-taroko-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13",
"prediction_rows": 962,
"run_id": "whisper_small_pan_formosan_to_language_train-taroko_eval-taroko-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13",
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"train_epochs": 3.0
}
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