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
- Xet hash:
- 0c060c8bd6a7afae1f75ed1b8a621a739ab6e38d2735dc34fa3b2d8d3c351569
- Size of remote file:
- 5.39 kB
- SHA256:
- 2f74bd21fc75c9b7fcca870d4f5ddf19c127381a6cb581417924d6cf3e425c37
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