Instructions to use moonshine-ai/moonshine-base-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moonshine-ai/moonshine-base-ja with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="moonshine-ai/moonshine-base-ja")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("moonshine-ai/moonshine-base-ja") model = AutoModelForSpeechSeq2Seq.from_pretrained("moonshine-ai/moonshine-base-ja", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from moonshine-ai/moonshine-base-ja: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/moonshine-ai/moonshine-base-ja/resolve/main/model.safetensors
- Command line
-
hf download hf://moonshine-ai/moonshine-base-ja/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/moonshine-ai/moonshine-base-ja/resolve/main/model.safetensors
246 MB
- Xet hash:
- e49224fc1352928ac7ddedd125f3382333c7b56caf80d5cb9a571cedc0e96840
- Size of remote file:
- 246 MB
- SHA256:
- 2896d3f070f5e84dbe9a75b35ad241f7de208020b5cbaf006bef5df79ff8b90b
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