Instructions to use aomocelin/moonshine_tiny_pt_v08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aomocelin/moonshine_tiny_pt_v08 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aomocelin/moonshine_tiny_pt_v08")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aomocelin/moonshine_tiny_pt_v08") model = AutoModelForSpeechSeq2Seq.from_pretrained("aomocelin/moonshine_tiny_pt_v08", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c48b09ab1d9b05d8c43ad80a62ea59683966e5fd6c49269427fc8c5bd0d1696c
- Size of remote file:
- 5.39 kB
- SHA256:
- 41b3b099affe35a415c0f9da323183bac8df48d39e3823a4cb5e0e46a356fdad
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