Automatic Speech Recognition
Transformers
Safetensors
Japanese
whisper
audio
hf-asr-leaderboard
Inference Endpoints
kotoba-whisper-v2.1 / pipeline /push_pipeline.py
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from kotoba_whisper import KotobaWhisperPipeline
from transformers.pipelines import PIPELINE_REGISTRY, pipeline
from transformers import WhisperForConditionalGeneration, TFWhisperForConditionalGeneration
model_alias = "kotoba-tech/kotoba-whisper-v2.1"
PIPELINE_REGISTRY.register_pipeline(
"kotoba-whisper",
pipeline_class=KotobaWhisperPipeline,
pt_model=WhisperForConditionalGeneration,
tf_model=TFWhisperForConditionalGeneration
)
pipe = pipeline(
task="kotoba-whisper",
model="kotoba-tech/kotoba-whisper-v2.0",
chunk_length_s=15,
batch_size=16,
punctuator=True,
stable_ts=True,
)
pipe.push_to_hub(model_alias)
pipe = pipeline(model=model_alias,
punctuator=True,
stable_ts=True,
chunk_length_s=15,
batch_size=16,
trust_remote_code=True)