Instructions to use aomocelin/moonshine_tiny_pt_v06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aomocelin/moonshine_tiny_pt_v06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aomocelin/moonshine_tiny_pt_v06")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aomocelin/moonshine_tiny_pt_v06") model = AutoModelForSpeechSeq2Seq.from_pretrained("aomocelin/moonshine_tiny_pt_v06", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 287 Bytes
619fcd9 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
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"model_max_length": 1000000000000000019884624838656,
"pad_token": "</s>",
"processor_class": "Wav2Vec2Processor",
"tokenizer_class": "TokenizersBackend"
}
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