Instructions to use aomocelin/moonshine_tiny_pt_v05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aomocelin/moonshine_tiny_pt_v05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aomocelin/moonshine_tiny_pt_v05")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aomocelin/moonshine_tiny_pt_v05") model = AutoModelForSpeechSeq2Seq.from_pretrained("aomocelin/moonshine_tiny_pt_v05", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa2a3f3f01c3e88fda79513b25323f11b07eb0adf1b83c7a22225ae6f0dc5c83
- Size of remote file:
- 5.39 kB
- SHA256:
- 9c2a78e5b7f5b3317907b7a24c89083c70c60b9a196099a65fba40bef5203b1c
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