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")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("spow12/Visual-novel-transcriptor") model = AutoModelForSpeechSeq2Seq.from_pretrained("spow12/Visual-novel-transcriptor", device_map="auto")
https://huggingface.co/spow12/Visual-novel-transcriptor/resolve/main/cover_image.jpeg
hf download hf://spow12/Visual-novel-transcriptor/cover_image.jpeg
curl -L -o cover_image.jpeg https://huggingface.co/spow12/Visual-novel-transcriptor/resolve/main/cover_image.jpeg
