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
| { | |
| "aggregate_metrics": { | |
| "cer_normalized_micro": 0.025800467225505015, | |
| "character_errors": 751, | |
| "corpora": 4, | |
| "reference_characters": 29108, | |
| "reference_words": 6991, | |
| "utterances": 962, | |
| "wer_normalized_micro": 0.060506365326848804, | |
| "word_errors": 423 | |
| }, | |
| "base_model": "openai/whisper-small", | |
| "condition": "pan_formosan_to_language", | |
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| "iso_639_3": "trv", | |
| "language": "Taroko", | |
| "model_family": "whisper_small", | |
| "readiness_status": "pass", | |
| "repo_id": "FormosanBank/formosan-asr-taroko", | |
| "source_run": "/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" | |
| } | |