Automatic Speech Recognition
Transformers
Safetensors
Sakizaya
whisper
formosanbank
formosan
endangered-languages
speech
asr
whisper-small
tacl
Instructions to use FormosanBank/formosan-asr-sakizaya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-sakizaya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-sakizaya")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-sakizaya") model = AutoModelForSpeechSeq2Seq.from_pretrained("FormosanBank/formosan-asr-sakizaya", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,167 Bytes
8740ee1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"actual_train_rows": 8811,
"best_selection_cer": 0.035554319082082717,
"best_selection_wer": 0.13656783788189591,
"best_step": 2644,
"condition": "pan_formosan_to_language",
"dominant_hypothesis_rate": 0.0027124773960217,
"estimated_effective_epochs": 3.000794461468619,
"failures": 0,
"generated_at": "2026-06-25T21:01:20+00:00",
"intended_train_rows": 8811,
"manifest_dir": "/projects/prudlab/tacl_formosan_asr/experiments/manifests/gate5_whisper_final_v1_with_pan_checkpoint/whisper_small_pan_formosan_to_language_train-sakizaya_eval-sakizaya-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13",
"nonempty_hypothesis_rate": 1.0,
"prediction_rows": 1106,
"result_dir": "/scratch/scheppat/projects/tacl_formosan_asr/runs_whisper_final_v1/whisper_small_pan_formosan_to_language_train-sakizaya_eval-sakizaya-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13",
"result_label": "final",
"run_id": "whisper_small_pan_formosan_to_language_train-sakizaya_eval-sakizaya-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13",
"status": "pass",
"steps": 3305,
"test_rows": 1106,
"train_batch_size": 8,
"warnings": 0
}
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