Instructions to use spow12/Visual-novel-transcriptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spow12/Visual-novel-transcriptor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="spow12/Visual-novel-transcriptor")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("spow12/Visual-novel-transcriptor") model = AutoModelForSpeechSeq2Seq.from_pretrained("spow12/Visual-novel-transcriptor") - Notebooks
- Google Colab
- Kaggle
Rename Cover_image.jpeg to cover_image.jpeg
Browse files
Cover_image.jpeg → cover_image.jpeg
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