Automatic Speech Recognition
PEFT
Safetensors
Japanese
lora
whisper
speech-to-text
kansai-dialect
japanese
Instructions to use hpscript/whisper-small-kansai-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hpscript/whisper-small-kansai-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("openai/whisper-small") model = PeftModel.from_pretrained(base_model, "hpscript/whisper-small-kansai-lora") - Notebooks
- Google Colab
- Kaggle
Whisper-Small-Kansai-LoRA
[JP] このモデルは、OpenAIの Whisper Small をベースに、関西弁(近畿方言)に特化してファインチューニングした音声認識(STT)用LoRAモデルです。
[EN] This is a LoRA adapter for Whisper Small, fine-tuned specifically for the Kansai dialect (Kinki dialect) of Japanese.
Model Details / モデルの詳細
[JP] 特徴
標準的なWhisperでは標準語に修正されがちな「〜やねん」「〜しはる」といった関西弁特有の表現を、聞こえたままに文字起こしすることを目指しています。
[EN] Features
While standard Whisper models often "correct" Kansai dialect into standard Japanese, this model aims to transcribe specific Kansai expressions (e.g., "yanen", "shiharu") as they are spoken.
- Developer: hpscript
- Language: Japanese (Kansai Dialect)
- Base Model: openai/whisper-small
- Method: PEFT (LoRA)
Usage / 使い方
import torch
from transformers import WhisperForConditionalGeneration, WhisperProcessor
from peft import PeftModel
base_model_id = "openai/whisper-small"
lora_model_id = "hpscript/whisper-small-kansai-lora"
model = WhisperForConditionalGeneration.from_pretrained(base_model_id)
model = PeftModel.from_pretrained(model, lora_model_id)
processor = WhisperProcessor.from_pretrained(base_model_id)
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openai/whisper-small