Instructions to use moonshine-ai/moonshine-tiny-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moonshine-ai/moonshine-tiny-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="moonshine-ai/moonshine-tiny-ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("moonshine-ai/moonshine-tiny-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("moonshine-ai/moonshine-tiny-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 189 Bytes
645d05c | 1 2 3 4 5 6 7 8 9 10 | {
"_from_model_config": true,
"bos_token_id": 1,
"pad_token_id": 2,
"decoder_start_token_id": 1,
"eos_token_id": 2,
"transformers_version": "4.48.0.dev0",
"max_length": 194
}
|