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
Update README.md
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README.md
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# WaifuModel Collections
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- [TTS](https://huggingface.co/spow12/visual_novel_tts)
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- [Chat](https://huggingface.co/spow12/ChatWaifu_v1.
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- [ASR](https://huggingface.co/spow12/Visual-novel-transcriptor)
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## Model Details
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### Model Description
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# WaifuModel Collections
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- [TTS](https://huggingface.co/spow12/visual_novel_tts)
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- [Chat](https://huggingface.co/spow12/ChatWaifu_v1.2.1)
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- [ASR](https://huggingface.co/spow12/Visual-novel-transcriptor)
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# Unified Demo
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[WaifuAssitant](https://github.com/yw0nam/WaifuAssistant)
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## Model Details
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### Model Description
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