Instructions to use swdq/Visual-novel-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swdq/Visual-novel-whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="swdq/Visual-novel-whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("swdq/Visual-novel-whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("swdq/Visual-novel-whisper") - Notebooks
- Google Colab
- Kaggle
https://huggingface.co/kotoba-tech/kotoba-whisper-v1.1 ไธ่จใฎใขใใซใ่จ็ทดใใใขใใซใ็จ่ชใ่ช่ญใงใใใใใซใใใใฎใงใใ
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