Automatic Speech Recognition
Transformers
Safetensors
PEFT
Japanese
whisper
japanese
asr
speech-recognition
lora
fine-tuned
Instructions to use dungca/whisper-tiny-ja-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dungca/whisper-tiny-ja-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dungca/whisper-tiny-ja-lora", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dungca/whisper-tiny-ja-lora", dtype="auto", device_map="auto") - PEFT
How to use dungca/whisper-tiny-ja-lora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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- **Training repository:** [dungca1512/whisper-finetune-ja-train](https://github.com/dungca1512/whisper-finetune-ja-train)
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- **Base model:** [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny)
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- **Demo:** [🤗 Try it on Hugging Face Spaces](https://huggingface.co/spaces/dungca/whisper-ja-demo)
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## Uses
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- **Training repository:** [dungca1512/whisper-finetune-ja-train](https://github.com/dungca1512/whisper-finetune-ja-train)
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- **Base model:** [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny)
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- **Demo:** [🤗 Try it on Hugging Face Spaces](https://huggingface.co/spaces/dungca/whisper-tiny-ja-lora-demo)
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## Uses
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