Instructions to use moonshine-ai/moonshine-base-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moonshine-ai/moonshine-base-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="moonshine-ai/moonshine-base-ko")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("moonshine-ai/moonshine-base-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("moonshine-ai/moonshine-base-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from moonshine-ai/moonshine-base-ko: direct link, hf CLI and curl.
- Browser
- Download file 184 Bytes
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https://huggingface.co/moonshine-ai/moonshine-base-ko/resolve/main/generation_config.json
- Command line
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hf download hf://moonshine-ai/moonshine-base-ko/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/moonshine-ai/moonshine-base-ko/resolve/main/generation_config.json
184 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "decoder_start_token_id": 1, | |
| "eos_token_id": 2, | |
| "max_length": 194, | |
| "pad_token_id": 2, | |
| "transformers_version": "4.52.4" | |
| } | |